myFunc=class=PointToPointConnection name=Unnamed evaluation=class=PointToPointEvaluation name=Unnamed isFunctionComposition=true leftFunction=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[sin(x)] rightFunction=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[cos(x)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[cos(x)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x] outputVariablesNames=[y0] formulas=[cos(x)] fieldToPoint=class=FieldToPointFunction name=Unnamed implementation=class=FieldToPointFunctionImplementation name=Unnamed input description=[] output description=[] number of calls=0 pointToField=class=PointToFieldFunction name=Unnamed implementation=class=PointToFieldFunctionImplementation name=Unnamed input description=[] output description=[] number of calls=0
myFunc input description=[x]
myFunc output description=[y0]
myFunc input dimension=1
myFunc output dimension=1
point=class=Point name=Unnamed dimension=1 values=[1]
myFunc(point)=class=Point name=Unnamed dimension=1 values=[0.514395]
myFunc.gradient(point)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[-0.721606]
myFunc.hessian(point)=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=1 columns=1 sheets=1 values=[-0.827568]
called 6 times
myFunc=class=PointToPointConnection name=Unnamed evaluation=class=PointToPointEvaluation name=Unnamed isFunctionComposition=false leftFunction=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed rightFunction=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoEvaluation name=Unnamed gradientImplementation=class=NoGradient name=Unnamed hessianImplementation=class=NoHessian name=Unnamed fieldToPoint=class=FieldToPointFunction name=Unnamed implementation=class=KarhunenLoeveProjection name=Unnamed input description=[v0] output description=[xi0,xi1,xi2,xi3,xi4] number of calls=0 pointToField=class=PointToFieldFunction name=Unnamed implementation=class=KarhunenLoeveLifting name=Unnamed input description=[xi0,xi1,xi2,xi3,xi4] output description=[v0] number of calls=0
myFunc input description=[xi0,xi1,xi2,xi3,xi4]
myFunc output description=[xi0,xi1,xi2,xi3,xi4]
myFunc input dimension=5
myFunc output dimension=5
point=class=Point name=Unnamed dimension=5 values=[1,1,1,1,1]
myFunc(point)=class=Point name=Unnamed dimension=5 values=[1,1,1,1,1]
myFunc.gradient(point)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=5 values=[1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1]
myFunc.hessian(point)=class=Tensor implementation=class=TensorImplementation name=Unnamed rows=5 columns=5 sheets=5 values=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
called 62 times
