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algo= class=TNC class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=NumericalPoint name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=NumericalPoint name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=NumericalPoint name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=NumericalPoint name=Unnamed dimension=0 values=[] offset=class=NumericalPoint name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
result= class=OptimizationResult optimal point=class=NumericalPoint name=Unnamed dimension=4 values=[-3,-3,5,-3] optimal value=class=NumericalPoint name=Unnamed dimension=1 values=[-36] iterationNumber=9 absoluteError=1.33314 relativeError=0.184873 residualError=1.33314 constraintError=0
algo= class=TNC class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1+2*x2-3*x3+4*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=NumericalPoint name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=NumericalPoint name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=NumericalPoint name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=NumericalPoint name=Unnamed dimension=0 values=[] offset=class=NumericalPoint name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
result= class=OptimizationResult optimal point=class=NumericalPoint name=Unnamed dimension=4 values=[5,5,-3,5] optimal value=class=NumericalPoint name=Unnamed dimension=1 values=[44] iterationNumber=10 absoluteError=1.03941 relativeError=0.113409 residualError=1.03941 constraintError=0
algo= class=TNC class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=NumericalPoint name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=NumericalPoint name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=true dimension=4 startingPoint=class=NumericalPoint name=Unnamed dimension=4 values=[3,-2.5,4.5,-2.5] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=NumericalPoint name=Unnamed dimension=0 values=[] offset=class=NumericalPoint name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
result= class=OptimizationResult optimal point=class=NumericalPoint name=Unnamed dimension=4 values=[3.42562,-3,5,-3] optimal value=class=NumericalPoint name=Unnamed dimension=1 values=[-108.288] iterationNumber=12 absoluteError=0.000245563 relativeError=3.31919e-05 residualError=1.16086e-07 constraintError=0
algo= class=TNC class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,y1] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y1] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=NumericalPoint name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=NumericalPoint name=Unnamed dimension=4 values=[5,5,5,5] finite lower bound=[1,1,1,1] finite upper bound=[1,1,1,1] minimization=false dimension=4 startingPoint=class=NumericalPoint name=Unnamed dimension=4 values=[3,-2.5,4.5,-2.5] maximumIterationNumber=100 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 verbose=false scale=class=NumericalPoint name=Unnamed dimension=0 values=[] offset=class=NumericalPoint name=Unnamed dimension=0 values=[] maxCGit=50 eta=0.25 stepmx=10 accuracy=0.0001 fmin=1 rescale=1.3
result= class=OptimizationResult optimal point=class=NumericalPoint name=Unnamed dimension=4 values=[-3,5,5,5] optimal value=class=NumericalPoint name=Unnamed dimension=1 values=[137.97] iterationNumber=11 absoluteError=0.401861 relativeError=0.0438467 residualError=0.746158 constraintError=0
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