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g2=class=FunctionImplementation name=Unnamed description=[x0,x2,y0,y1,y2] evaluationImplementation=class=ParametricEvaluation function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,y0,y1,y2] evaluationImplementation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)]) gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] parameters positions=[3,1] parameters=class=PointWithDescription name=Unnamed dimension=2 description=[x3,x1] values=[0.85,0.85] input positions=[0,2] gradientImplementation=class=ParametricGradient evaluation=class=ParametricEvaluation function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,y0,y1,y2] evaluationImplementation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)]) gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] parameters positions=[3,1] parameters=class=PointWithDescription name=Unnamed dimension=2 description=[x3,x1] values=[0.85,0.85] input positions=[0,2] hessianImplementation=class=ParametricHessian evaluation=class=ParametricEvaluation function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x0,x1,x2,x3,y0,y1,y2] evaluationImplementation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)]) gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x0,x1,x2,x3] outputVariablesNames=[y0,y1,y2] formulas=[sin(x0) + x1 * cos(x2) / exp(x3),-2.0 * x0 + x1 * x2^2 + cos(x3),x0 / (abs(x1) * x2^2 + x3 + 1.0)] parameters positions=[3,1] parameters=class=PointWithDescription name=Unnamed dimension=2 description=[x3,x1] values=[0.85,0.85] input positions=[0,2]
g2(x)=class=Point name=Unnamed dimension=3 values=[0.690284,2.05998,0.190476]
point history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[1,2]]
parameter history=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=1 dimension=2 data=[[0.85,0.85]]
g2_0(x)=class=Point name=Unnamed dimension=1 values=[0.690284]
dg2_0/dtheta(x)=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=1 values=[0.151187,-0.177867]
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