File: t_AggregatedFunction_std.expout

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myFunction=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1,y0,y1] evaluationImplementation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] gradientImplementation=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] hessianImplementation=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]]
Value at class=Point name=Unnamed dimension=3 values=[1.2,2.3,3.4]=class=Point name=Unnamed dimension=4 values=[-2.67038,-13.1757,-0.00142562,-13.1757]
Gradient at class=Point name=Unnamed dimension=3 values=[1.2,2.3,3.4]=class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=4 values=[-4.79497,-0.893127,-0.311467,16.1934,-4.67213,-3.48031,0.000407664,0.0043079,0.00392597,16.1934,-4.67213,-3.48031]
Hessian at class=Point name=Unnamed dimension=3 values=[1.2,2.3,3.4]=class=SymmetricTensor implementation=class=TensorImplementation name=Unnamed rows=3 columns=3 sheets=4 values=[-7.222,-0.99874,-1.797,0,1.5358,4.5394,0,0,10.178,-10.759,4.5955,5.2391,0,-0.81967,-0.81967,0,0,-0.95953,-0.018954,0.0043086,-0.007232,0,-0.014647,-0.0084823,0,0,-0.013158,-10.759,4.5955,5.2391,0,-0.81967,-0.81967,0,0,-0.95953]
Marginal 0=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2)] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0]
Marginal 1=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y1] formulas=[x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[1] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[1]
Marginal 2=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[2] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[2]
Marginal 3=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y1] formulas=[x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[3] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[3]
Marginal (0,1)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0,1] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0,1]
Marginal (0,2)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y0] evaluationImplementation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)]] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0,2] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[0,2]
Marginal (1,2)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y1,y0] evaluationImplementation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y1] formulas=[x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y1] formulas=[x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y1] formulas=[x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2)]] gradientImplementation=class=MarginalGradient gradient=class=AggregatedGradient evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[1,2] hessianImplementation=class=MarginalHessian hessian=class=AggregatedHessian evaluation=class=AggregatedEvaluation functions=[class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)],class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0,y1] formulas=[exp(-x2 * x3 + x1) / cos(1.0 + x3 * x1 - x2),x1^1 * sin(x3 + 2.5 * x1) - (x2 + x3)^2 / (1.0 + x1^2)]] indices=[1,2]