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myFunction=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,v0,v1,v2] evaluationImplementation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] gradientImplementation=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] hessianImplementation=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]]
myFunction (HTML)=
DualLinearCombinationEvaluation
<ul>
<li> Input dimension = 3 </li>
<li> Input description = [x1,x2,x3] </li>
<li> Output dimension = 3 </li>
<li> Size = 2 </li>
</ul>
<table>
<tr>
<th>Coefficient</th>
<th>Function</th>
</tr>
<tr>
<td>[1.5,2.5,-0.5]</td>
<td>[x1,x2,x3]->[x1^3 * sin(x2 + 2.5 * x3) - (x1 + x2)^2 / (1.0 + x3^2)]</td>
</tr>
<tr>
<td>[-3.5,0.5,-1.5]</td>
<td>[x1,x2,x3]->[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]</td>
</tr>
</table>
Value at class=Point name=Unnamed dimension=3 values=[1.2,2.3,3.4]=class=Point name=Unnamed dimension=3 values=[-32.6345,-2.5861,-10.9343]
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=3 values=[178.768,-375.374,-305.359,-38.5532,51.2006,42.7773,82.095,-159.854,-130.512]
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=3 values=[-1751.3,4267.4,3202.7,0,-11041,-8261.4,0,0,-6049.1,230.59,-612.35,-462.4,0,1581.5,1192.5,0,0,891.78,-742.32,1830,1374.6,0,-4733.6,-3545.8,0,0,-2604.1]
Marginal 0=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=LinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Point name=Unnamed dimension=2 values=[1.5,-3.5] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0]
Marginal 1=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=LinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Point name=Unnamed dimension=2 values=[2.5,0.5] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[1] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[1]
Marginal 2=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,y0] evaluationImplementation=class=LinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Point name=Unnamed dimension=2 values=[-0.5,-1.5] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[2] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[2]
Marginal (0,1)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,v0,v1] evaluationImplementation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=2 data=[[1.5,2.5],[-3.5,0.5]] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0,1] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0,1]
Marginal (0,2)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,v0,v1] evaluationImplementation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=2 data=[[1.5,-0.5],[-3.5,-1.5]] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0,2] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[0,2]
Marginal (1,2)=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,v0,v1] evaluationImplementation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=2 data=[[2.5,-0.5],[0.5,-1.5]] gradientImplementation=class=MarginalGradient gradient=class=DualLinearCombinationGradient evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[1,2] hessianImplementation=class=MarginalHessian hessian=class=DualLinearCombinationHessian evaluation=class=DualLinearCombinationEvaluation 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(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3] outputVariablesNames=[y0] formulas=[exp(-x1 * x2 + x3) / cos(1.0 + x2 * x3 - x1)]] coefficients=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=3 data=[[1.5,2.5,-0.5],[-3.5,0.5,-1.5]] indices=[1,2]
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