ROL
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This is the complete list of members for ROL::MeanVarianceFromTarget< Real >, including all inherited members.
checkInputs(void) const | ROL::MeanVarianceFromTarget< Real > | inlineprivate |
coeff_ | ROL::MeanVarianceFromTarget< Real > | private |
computeGradient(Vector< Real > &g, Objective< Real > &obj, const Vector< Real > &x, Real &tol) | ROL::RandVarFunctional< Real > | inlineprotected |
computeGradVec(Vector< Real > &g, Objective< Real > &obj, const Vector< Real > &v, const Vector< Real > &x, Real &tol) | ROL::RandVarFunctional< Real > | inlineprotected |
computeHessVec(Vector< Real > &hv, Objective< Real > &obj, const Vector< Real > &v, const Vector< Real > &x, Real &tol) | ROL::RandVarFunctional< Real > | inlineprotected |
computeStatistic(const Ptr< const std::vector< Real >> &xstat) const | ROL::RandVarFunctional< Real > | inlinevirtual |
computeValue(Objective< Real > &obj, const Vector< Real > &x, Real &tol) | ROL::RandVarFunctional< Real > | inlineprotected |
dualVector_ | ROL::RandVarFunctional< Real > | protected |
firstReset_ | ROL::RandVarFunctional< Real > | protected |
g_ | ROL::RandVarFunctional< Real > | protected |
getGradient(Vector< Real > &g, std::vector< Real > &gstat, const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler) | ROL::RandVarFunctional< Real > | inlinevirtual |
getHessVec(Vector< Real > &hv, std::vector< Real > &hvstat, const Vector< Real > &v, const std::vector< Real > &vstat, const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler) | ROL::RandVarFunctional< Real > | inlinevirtual |
getValue(const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler) | ROL::RandVarFunctional< Real > | inlinevirtual |
gv_ | ROL::RandVarFunctional< Real > | protected |
hv_ | ROL::RandVarFunctional< Real > | protected |
initialize(const Vector< Real > &x) | ROL::RandVarFunctional< Real > | inlinevirtual |
MeanVarianceFromTarget(const Real target, const Real order, const Real coeff, const ROL::Ptr< PositiveFunction< Real > > &pf) | ROL::MeanVarianceFromTarget< Real > | inline |
MeanVarianceFromTarget(const std::vector< Real > &target, const std::vector< Real > &order, const std::vector< Real > &coeff, const ROL::Ptr< PositiveFunction< Real > > &pf) | ROL::MeanVarianceFromTarget< Real > | inline |
MeanVarianceFromTarget(ROL::ParameterList &parlist) | ROL::MeanVarianceFromTarget< Real > | inline |
NumMoments_ | ROL::MeanVarianceFromTarget< Real > | private |
order_ | ROL::MeanVarianceFromTarget< Real > | private |
point_ | ROL::RandVarFunctional< Real > | protected |
positiveFunction_ | ROL::MeanVarianceFromTarget< Real > | private |
RandVarFunctional(void) | ROL::RandVarFunctional< Real > | inline |
resetStorage(bool flag=true) | ROL::RandVarFunctional< Real > | inlinevirtual |
setHessVecStorage(const Ptr< SampledScalar< Real >> &gradvec_storage, const Ptr< SampledVector< Real >> &hessvec_storage) | ROL::RandVarFunctional< Real > | inlinevirtual |
setSample(const std::vector< Real > &point, const Real weight) | ROL::RandVarFunctional< Real > | inlinevirtual |
setStorage(const Ptr< SampledScalar< Real >> &value_storage, const Ptr< SampledVector< Real >> &gradient_storage) | ROL::RandVarFunctional< Real > | inlinevirtual |
target_ | ROL::MeanVarianceFromTarget< Real > | private |
uint typedef | ROL::MeanVarianceFromTarget< Real > | private |
updateGradient(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol) | ROL::MeanVarianceFromTarget< Real > | inlinevirtual |
updateHessVec(Objective< Real > &obj, const Vector< Real > &v, const std::vector< Real > &vstat, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol) | ROL::MeanVarianceFromTarget< Real > | inlinevirtual |
updateValue(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol) | ROL::MeanVarianceFromTarget< Real > | inlinevirtual |
useHessVecStorage(bool storage) | ROL::RandVarFunctional< Real > | inline |
useStorage(bool storage) | ROL::RandVarFunctional< Real > | inline |
val_ | ROL::RandVarFunctional< Real > | protected |
weight_ | ROL::RandVarFunctional< Real > | protected |
weight_(0) | ROL::RandVarFunctional< Real > | inline |
~RandVarFunctional() | ROL::RandVarFunctional< Real > | inlinevirtual |