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-- Not supported: algo= SLSQP inequality= True equality= True
algo= class=SLSQP 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=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,ineq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] 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
x^= [5.0000,-3.0000,5.0000,-3.0000]
algo= class=SLSQP 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=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,eq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] 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
x^= [-3.0000,-3.0000,5.0000,2.0000]
algo= class=SLSQP 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
x^= [-3.0000,-3.0000,5.0000,-3.0000]
algo= class=SLSQP 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=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,eq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] inequality constraint=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,ineq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] 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
x^= [5.0000,5.0000,-3.0000,2.0000]
algo= class=SLSQP 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=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,ineq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[ineq] formulas=[x1-x3] 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
x^= [5.0000,5.0000,-3.0000,5.0000]
algo= class=SLSQP 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=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[x1,x2,x3,x4,eq] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[x1,x2,x3,x4] outputVariablesNames=[eq] formulas=[x4-2] 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
x^= [5.0000,5.0000,-3.0000,2.0000]
algo= class=SLSQP 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
x^= [5.0000,5.0000,-3.0000,5.0000]
-- Not supported: algo= LBFGS inequality= True equality= True
-- Not supported: algo= LBFGS inequality= True equality= False
-- Not supported: algo= LBFGS inequality= False equality= True
algo= class=LBFGS 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
x^= [-3.0000,-3.0000,5.0000,-3.0000]
-- Not supported: algo= LBFGS inequality= True equality= True
-- Not supported: algo= LBFGS inequality= True equality= False
-- Not supported: algo= LBFGS inequality= False equality= True
algo= class=LBFGS 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
x^= [5.0000,5.0000,-3.0000,5.0000]
-- Not supported: algo= NelderMead inequality= True equality= True
-- Not supported: algo= NelderMead inequality= True equality= False
-- Not supported: algo= NelderMead inequality= False equality= True
algo= class=NelderMead 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
x^= [-3.0000,-3.0000,5.0000,-3.0000]
-- Not supported: algo= NelderMead inequality= True equality= True
-- Not supported: algo= NelderMead inequality= True equality= False
-- Not supported: algo= NelderMead inequality= False equality= True
algo= class=NelderMead 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
x^= [5.0000,5.0000,-3.0000,5.0000]
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