algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[0.000,0.000,0.000,0.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GD_MLSL inequality=true equality=true
-- Not supported: algo=GD_MLSL inequality=true equality=false
-- Not supported: algo=GD_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GD_MLSL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GD_MLSL inequality=true equality=true
-- Not supported: algo=GD_MLSL inequality=true equality=false
-- Not supported: algo=GD_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GD_MLSL
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GD_MLSL_LDS inequality=true equality=true
-- Not supported: algo=GD_MLSL_LDS inequality=true equality=false
-- Not supported: algo=GD_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GD_MLSL_LDS
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GD_MLSL_LDS inequality=true equality=true
-- Not supported: algo=GD_MLSL_LDS inequality=true equality=false
-- Not supported: algo=GD_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GD_MLSL_LDS
x^=[5.000,5.000,-3.000,5.000]
-- Skipped: algo=GD_STOGO
-- Skipped: algo=GD_STOGO_RAND
-- Not supported: algo=GN_CRS2_LM inequality=true equality=true
-- Not supported: algo=GN_CRS2_LM inequality=true equality=false
-- Not supported: algo=GN_CRS2_LM inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_CRS2_LM
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_CRS2_LM inequality=true equality=true
-- Not supported: algo=GN_CRS2_LM inequality=true equality=false
-- Not supported: algo=GN_CRS2_LM inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_CRS2_LM
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT inequality=true equality=true
-- Not supported: algo=GN_DIRECT inequality=true equality=false
-- Not supported: algo=GN_DIRECT inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT inequality=true equality=true
-- Not supported: algo=GN_DIRECT inequality=true equality=false
-- Not supported: algo=GN_DIRECT inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT_L inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT_L inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_NOSCAL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_NOSCAL
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT_L_RAND inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_RAND inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_RAND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_RAND
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT_L_RAND inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_RAND inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_RAND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_RAND
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_RAND_NOSCAL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_L_RAND_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_L_RAND_NOSCAL
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_NOSCAL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=true equality=true
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=true equality=false
-- Not supported: algo=GN_DIRECT_NOSCAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_DIRECT_NOSCAL
x^=[5.000,5.000,-3.000,5.000]
-- Skipped: algo=GN_ESCH
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[4.743,-2.725,4.575,1.995]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[4.942,-2.770,4.868,-2.901]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[-2.400,-2.859,4.994,2.001]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[-2.621,-2.944,4.946,-2.900]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[4.942,4.443,-2.976,1.999]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[4.904,4.918,-2.999,4.900]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[3.870,4.167,-2.983,2.009]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ISRES
x^=[4.996,4.830,-2.996,4.986]
-- Not supported: algo=GN_MLSL inequality=true equality=true
-- Not supported: algo=GN_MLSL inequality=true equality=false
-- Not supported: algo=GN_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_MLSL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_MLSL inequality=true equality=true
-- Not supported: algo=GN_MLSL inequality=true equality=false
-- Not supported: algo=GN_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_MLSL
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_MLSL_LDS inequality=true equality=true
-- Not supported: algo=GN_MLSL_LDS inequality=true equality=false
-- Not supported: algo=GN_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_MLSL_LDS
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_MLSL_LDS inequality=true equality=true
-- Not supported: algo=GN_MLSL_LDS inequality=true equality=false
-- Not supported: algo=GN_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_MLSL_LDS
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_ORIG_DIRECT inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT
x^=[4.951,-2.995,4.951,-2.998]
-- Not supported: algo=GN_ORIG_DIRECT inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_ORIG_DIRECT inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_ORIG_DIRECT inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_ORIG_DIRECT_L inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT_L
x^=[1.000,-3.000,1.000,-3.000]
-- Not supported: algo=GN_ORIG_DIRECT_L inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT_L
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=GN_ORIG_DIRECT_L inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT_L
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=GN_ORIG_DIRECT_L inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=GN_ORIG_DIRECT_L
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=G_MLSL inequality=true equality=true
-- Not supported: algo=G_MLSL inequality=true equality=false
-- Not supported: algo=G_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=G_MLSL
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=G_MLSL inequality=true equality=true
-- Not supported: algo=G_MLSL inequality=true equality=false
-- Not supported: algo=G_MLSL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=G_MLSL
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=G_MLSL_LDS inequality=true equality=true
-- Not supported: algo=G_MLSL_LDS inequality=true equality=false
-- Not supported: algo=G_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=G_MLSL_LDS
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=G_MLSL_LDS inequality=true equality=true
-- Not supported: algo=G_MLSL_LDS inequality=true equality=false
-- Not supported: algo=G_MLSL_LDS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=G_MLSL_LDS
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[0.000,0.000,0.000,0.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_CCSAQ inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_CCSAQ
x^=[5.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_CCSAQ inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_CCSAQ
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_CCSAQ inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_CCSAQ
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_CCSAQ inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_CCSAQ
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_LBFGS inequality=true equality=true
-- Not supported: algo=LD_LBFGS inequality=true equality=false
-- Not supported: algo=LD_LBFGS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_LBFGS
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_LBFGS inequality=true equality=true
-- Not supported: algo=LD_LBFGS inequality=true equality=false
-- Not supported: algo=LD_LBFGS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_LBFGS
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=true equality=true
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=true equality=false
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_LBFGS_NOCEDAL
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=false equality=false
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=true equality=true
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=true equality=false
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_LBFGS_NOCEDAL
-- Not supported: algo=LD_LBFGS_NOCEDAL inequality=false equality=false
-- Not supported: algo=LD_MMA inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_MMA
x^=[5.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_MMA inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_MMA
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_MMA inequality=true equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_MMA
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_MMA inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_MMA
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_SLSQP
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_TNEWTON inequality=true equality=true
-- Not supported: algo=LD_TNEWTON inequality=true equality=false
-- Not supported: algo=LD_TNEWTON inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_TNEWTON inequality=true equality=true
-- Not supported: algo=LD_TNEWTON inequality=true equality=false
-- Not supported: algo=LD_TNEWTON inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_PRECOND
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_PRECOND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_PRECOND
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_PRECOND_RESTART
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_PRECOND_RESTART inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_PRECOND_RESTART
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_TNEWTON_RESTART inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_RESTART inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_RESTART inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_RESTART
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_TNEWTON_RESTART inequality=true equality=true
-- Not supported: algo=LD_TNEWTON_RESTART inequality=true equality=false
-- Not supported: algo=LD_TNEWTON_RESTART inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_TNEWTON_RESTART
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_VAR1 inequality=true equality=true
-- Not supported: algo=LD_VAR1 inequality=true equality=false
-- Not supported: algo=LD_VAR1 inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_VAR1
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_VAR1 inequality=true equality=true
-- Not supported: algo=LD_VAR1 inequality=true equality=false
-- Not supported: algo=LD_VAR1 inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_VAR1
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LD_VAR2 inequality=true equality=true
-- Not supported: algo=LD_VAR2 inequality=true equality=false
-- Not supported: algo=LD_VAR2 inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_VAR2
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LD_VAR2 inequality=true equality=true
-- Not supported: algo=LD_VAR2 inequality=true equality=false
-- Not supported: algo=LD_VAR2 inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LD_VAR2
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[0.000,0.000,0.000,0.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[-3.000,-3.000,5.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[-3.000,-3.000,5.000,-3.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1-x3] bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x4-2] inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,5.000,-3.000,2.000]
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_AUGLAG_EQ
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LN_BOBYQA inequality=true equality=true
-- Not supported: algo=LN_BOBYQA inequality=true equality=false
-- Not supported: algo=LN_BOBYQA inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_BOBYQA
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LN_BOBYQA inequality=true equality=true
-- Not supported: algo=LN_BOBYQA inequality=true equality=false
-- Not supported: algo=LN_BOBYQA inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_BOBYQA
x^=[5.000,5.000,-3.000,5.000]
-- Skipped: algo=LN_COBYLA
-- Not supported: algo=LN_NELDERMEAD inequality=true equality=true
-- Not supported: algo=LN_NELDERMEAD inequality=true equality=false
-- Not supported: algo=LN_NELDERMEAD inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_NELDERMEAD
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LN_NELDERMEAD inequality=true equality=true
-- Not supported: algo=LN_NELDERMEAD inequality=true equality=false
-- Not supported: algo=LN_NELDERMEAD inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_NELDERMEAD
x^=[5.000,5.000,-3.000,5.000]
-- Skipped: algo=LN_NEWUOA
-- Not supported: algo=LN_NEWUOA_BOUND inequality=true equality=true
-- Not supported: algo=LN_NEWUOA_BOUND inequality=true equality=false
-- Not supported: algo=LN_NEWUOA_BOUND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_NEWUOA_BOUND
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LN_NEWUOA_BOUND inequality=true equality=true
-- Not supported: algo=LN_NEWUOA_BOUND inequality=true equality=false
-- Not supported: algo=LN_NEWUOA_BOUND inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_NEWUOA_BOUND
x^=[5.000,5.000,-3.000,5.000]
-- Not supported: algo=LN_PRAXIS inequality=true equality=true
-- Not supported: algo=LN_PRAXIS inequality=true equality=false
-- Not supported: algo=LN_PRAXIS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_PRAXIS
x^=[-3.000,-3.000,4.000,-2.000]
-- Not supported: algo=LN_PRAXIS inequality=true equality=true
-- Not supported: algo=LN_PRAXIS inequality=true equality=false
-- Not supported: algo=LN_PRAXIS inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_PRAXIS
x^=[5.000,4.000,-3.000,2.000]
-- Not supported: algo=LN_SBPLX inequality=true equality=true
-- Not supported: algo=LN_SBPLX inequality=true equality=false
-- Not supported: algo=LN_SBPLX inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_SBPLX
x^=[-3.000,-3.000,5.000,-3.000]
-- Not supported: algo=LN_SBPLX inequality=true equality=true
-- Not supported: algo=LN_SBPLX inequality=true equality=false
-- Not supported: algo=LN_SBPLX inequality=false equality=true
algo=class=NLopt class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=5000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false algorithm=LN_SBPLX
x^=[5.000,5.000,-3.000,5.000]
