1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
|
algo= class=Cobyla 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=SymbolicGradient name=Unnamed 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 maximumCallsNumber=1000 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1
x^= [0.1000,0.2000,-0.3000,0.4000]
f(x^)= [0.1500]
lambda^= [-0.1000]
x^= [0.1297,-0.1645,-0.6181,-0.3290]
f(x^)= [0.2671]
lambda^= [-0.1331]
algo= class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=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=SymbolicGradient name=Unnamed 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] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point 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=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumCallsNumber=150 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1
x^= [-3.0000,-3.0000,5.0000,-3.0000]
f(x^)= [-36.0000]
lambda^= [-1.0000,-2.0000,0.0000,-4.0000,0.0000,0.0000,-3.0000,0.0000]
algo= class=Cobyla class=OptimizationAlgorithmImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=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=SymbolicGradient name=Unnamed 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] equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=4 lower bound=class=Point name=Unnamed dimension=4 values=[-3,-3,-3,-3] upper bound=class=Point 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=Point name=Unnamed dimension=4 values=[0,0,0,0] maximumIterationNumber=100 maximumCallsNumber=150 maximumAbsoluteError=1e-05 maximumRelativeError=1e-05 maximumResidualError=1e-05 maximumConstraintError=1e-05 rhoBeg=0.1
x^= [5.0000,5.0000,-3.0000,5.0000]
f(x^)= [44.0000]
lambda^= [0.0000,0.0000,3.0000,0.0000,1.0000,2.0000,0.0000,4.0000]
OK
|
