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myFunc=class=SymbolicFunction name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,y0,y1,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0,y1,y2] formulas=[x1*sin(x2),cos(x1+x2),(x2+1)*exp(x1-2*x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0,y1,y2] formulas=[x1*sin(x2),cos(x1+x2),(x2+1)*exp(x1-2*x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0,y1,y2] formulas=[x1*sin(x2),cos(x1+x2),(x2+1)*exp(x1-2*x2)]
myFunc input parameter(s)=
x1
x2
myFunc output parameter(s) and marginal(s)=
y0
Marginal function 0 = class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0] formulas=[x1*sin(x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0] formulas=[x1*sin(x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y0] formulas=[x1*sin(x2)]
y1
Marginal function 1 = class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,y1] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y1] formulas=[cos(x1+x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y1] formulas=[cos(x1+x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y1] formulas=[cos(x1+x2)]
y2
Marginal function 2 = class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,y2] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y2] formulas=[(x2+1)*exp(x1-2*x2)] gradientImplementation=class=SymbolicGradient name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y2] formulas=[(x2+1)*exp(x1-2*x2)] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2] outputVariablesNames=[y2] formulas=[(x2+1)*exp(x1-2*x2)]
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