transformation= class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] output marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] simplifications=[0,0] expressions=[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,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]
transformation( [-0.686224,0.202089] )= class=Point name=Unnamed dimension=2 values=[0.25,0.25]
transformation( [2.68622,0.684724] )= class=Point name=Unnamed dimension=2 values=[0.75,0.75]
transformation    parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.127111,0.0857348,0,0,0,0,0,-0.326405,0.0968347,-1.43751]
finite difference parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.127111,0.0857348,0,0,0,0,0,-0.326405,0.0968347,-1.43751]
transformation    parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.127111,-0.0857348,0,0,0,0,0,-0.269753,0.141962,-0.621984]
finite difference parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[-0.127111,-0.0857348,0,0,0,0,0,-0.269753,0.141962,-0.621984]
input dimension= 2
output dimension= 2
transformation= class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] output marginals=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] simplifications=[0,0] expressions=[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,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]
transformation( [0.25,0.25] )= class=Point name=Unnamed dimension=2 values=[-0.686224,0.202089]
transformation( [0.75,0.75] )= class=Point name=Unnamed dimension=2 values=[2.68622,0.684724]
transformation    parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[1,-0.67449,0,0,0,0,0,0.227063,-0.0673629,1]
finite difference parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[1,-0.67449,0,0,0,0,0,0.227063,-0.0673629,1]
transformation    parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[1,0.67449,0,0,0,0,0,0.433697,-0.228241,1]
finite difference parameters gradient= class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=5 columns=2 values=[1,0.67449,0,0,0,0,0,0.433697,-0.228241,1]
input dimension= 2
output dimension= 2
transformation= class=MarginalTransformationEvaluation description=[x0,x1,y0,y1] input marginals=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Gamma name=Gamma dimension=1 k=1.5 lambda=3 gamma=0] output marginals=[class=Gamma name=Gamma dimension=1 k=2.5 lambda=2 gamma=0,class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[3] sigma=class=Point name=Unnamed dimension=1 values=[1.5] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] simplifications=[0,0] expressions=[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,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]
transformation( [-0.686224,0.202089] )= class=Point name=Unnamed dimension=2 values=[0.668651,1.98827]
transformation( [2.68622,0.684724] )= class=Point name=Unnamed dimension=2 values=[1.65642,4.01173]
input dimension= 2
output dimension= 2
T1= [x0]->[max(0.0, 2 * x0)]

T2= [x0]->[max(0.0, 0.5 * x0)]

T3= [x0]->[max(0.0, 5 + (x0 - 4))]

