1myGradient = class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1+2*x2-3*x3+4*x4] 2result = class=OptimizationResult optimal point=class=Point name=Unnamed dimension=4 values=[0.1,0.2,-0.3,0.4] optimal value=class=Point name=Unnamed dimension=1 values=[3] evaluationNumber=7 iterationNumber=1 absoluteError=0.547723 relativeError=1 residualError=0 constraintError=0 problem=class=OptimizationProblem implementation=class=NearestPointProblem level function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1+2*x2-3*x3+4*x4] level value=3 dimension=4 3myGradient = class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] 4myalgorithm= class=AbdoRackwitz class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=NearestPointProblem level function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] gradientImplementation=class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] level value=-0.5 dimension=4 startingPoint=class=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false tau=0.5 omega=0.0001 smooth=1.2 5result = class=OptimizationResult optimal point=class=Point name=Unnamed dimension=4 values=[-0.0460242,-0.0133336,0.144901,-0.0266672] optimal value=class=Point name=Unnamed dimension=1 values=[-0.499998] evaluationNumber=26 iterationNumber=4 absoluteError=0.00141914 relativeError=0.00915986 residualError=0 constraintError=2.48235e-06 problem=class=OptimizationProblem implementation=class=NearestPointProblem level function=class=Function name=Unnamed implementation=class=FunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y0] evaluationImplementation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] gradientImplementation=class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] hessianImplementation=class=SymbolicHessian name=Unnamed evaluation=class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] level value=-0.5 dimension=4 6evaluation calls number= 26 7gradient calls number= 0 8hessian calls number= 0 9