File: t_FORM_std.expout

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myCobyla= class=Cobyla class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation objective=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=NoNumericalMathEvaluationImplementation name=Unnamed gradientImplementation=class=NoNumericalMathGradientImplementation name=Unnamed hessianImplementation=class=NoNumericalMathHessianImplementation name=Unnamed equality constraint=none inequality constraint=none bounds=class=Interval name=Unnamed dimension=0 lower bound=class=NumericalPoint name=Unnamed dimension=0 values=[] upper bound=class=NumericalPoint name=Unnamed dimension=0 values=[] finite lower bound=[] finite upper bound=[] minimization=true dimension=0 startingPoint=class=NumericalPoint name=Unnamed dimension=0 values=[] maximumIterationNumber=400 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false rhoBeg=0.1
FORM= class=FORM class=Analytical nearestPointAlgorithm=class=OptimizationSolver implementation=class=Cobyla class=OptimizationSolverImplementation problem=class=OptimizationProblem implementation=class=OptimizationProblemImplementation level function=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[E,F,L,I,d] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] level value=-3 bounds=none minimization=true dimension=4 startingPoint=class=NumericalPoint name=Unnamed dimension=0 values=[] maximumIterationNumber=400 maximumEvaluationNumber=100000 maximumAbsoluteError=1e-10 maximumRelativeError=1e-10 maximumResidualError=1e-10 maximumConstraintError=1e-10 verbose=false rhoBeg=0.1 event=class=Event name=Unnamed implementation=class=EventRandomVectorImplementation antecedent=class=CompositeRandomVector function=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[E,F,L,I,d] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[E,F,L,I] outputVariablesNames=[d] formulas=[-F*L^3/(3*E*I)] antecedent=class=UsualRandomVector distribution=class=Normal name=Normal dimension=4 mean=class=NumericalPoint name=Unnamed dimension=4 values=[50,1,10,5] sigma=class=NumericalPoint name=Unnamed dimension=4 values=[1,1,1,1] correlationMatrix=class=CorrelationMatrix dimension=4 implementation=class=MatrixImplementation name=Unnamed rows=4 columns=4 values=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1] operator=class=Less name=Unnamed threshold=-3 physicalstartingPoint=class=NumericalPoint name=Unnamed dimension=4 values=[50,1,10,5] result=class=FORMResult class=AnalyticalResult standardSpaceDesignPoint=class=NumericalPoint name=Unnamed dimension=0 values=[] physicalSpaceDesignPoint=class=NumericalPoint name=Unnamed dimension=0 values=[] limitStateVariable=class=Event name=Unnamed implementation=class=EventRandomVectorImplementation antecedent=class=CompositeRandomVector function=class=NumericalMathFunction name=Unnamed implementation=class=NumericalMathFunctionImplementation name=Unnamed description=[] evaluationImplementation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] gradientImplementation=class=AnalyticalNumericalMathGradientImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] hessianImplementation=class=AnalyticalNumericalMathHessianImplementation name=Unnamed evaluation=class=AnalyticalNumericalMathEvaluationImplementation name=Unnamed inputVariablesNames=[] outputVariablesNames=[] formulas=[] antecedent=class=ConstantRandomVector description=[] point=class=NumericalPoint name=Unnamed dimension=0 values=[] operator=class=Less name=Unnamed threshold=0 isStandardPointOriginInFailureSpace=false hasoferReliabilityIndex=0 importanceFactors=class=NumericalPointWithDescription name=Unnamed dimension=0 description=[] values=[] classicalImportanceFactors=class=NumericalPointWithDescription name=Unnamed dimension=0 description=[] values=[] hasoferReliabilityIndexSensitivity=[] eventProbability=0 generalisedReliabilityIndex=0 eventProbabilitySensitivity=[]
event probability=0.156426
generalized reliability index=1.009255
standard space design point= [-0.031035,0.841942,0.445404,-0.332238]
physical space design point= [49.968965,1.841942,10.445404,4.667762]
is standard point origin in failure space? false
importance factors= [0.000946,0.695925,0.194763,0.108367]
Hasofer reliability index=1.009255