1myAlgorithm = 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+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 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 2result = [0.1000,0.2000,-0.3000,0.4000] 3multipliers = [-0.1000] 4myGradient=class=NonCenteredFiniteDifferenceGradient name=Unnamed epsilon=class=Point name=Unnamed dimension=4 values=[1e-07,1e-07,1e-07,1e-07] evaluation=MemoizeEvaluation(class=SymbolicEvaluation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[y0] formulas=[x1*cos(x1)+2*x2*x3-3*x3+4*x3*x4]) 5myAlgorithm = 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=MemoizeEvaluation(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=MemoizeEvaluation(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 6result = [-0.0460,-0.0133,0.1449,-0.0267] 7evaluation cache hits=4 8evaluation calls number=22 9gradient calls number=0 10hessian calls number=0 11