ROL
ROL::KLDivergence< Real > Member List

This is the complete list of members for ROL::KLDivergence< Real >, including all inherited members.

checkInputs(void) const ROL::KLDivergence< Real >inlineprivate
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
eps_ROL::KLDivergence< Real >private
exponential(const Real arg1, const Real arg2) const ROL::KLDivergence< Real >inlineprivate
exponential(const Real arg) const ROL::KLDivergence< Real >inlineprivate
firstReset_ROL::RandVarFunctional< Real >protected
firstResetKLD_ROL::KLDivergence< Real >private
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::KLDivergence< 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::KLDivergence< Real >inlinevirtual
getValue(const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler)ROL::KLDivergence< Real >inlinevirtual
gv_ROL::RandVarFunctional< Real >protected
gval_ROL::KLDivergence< Real >private
gvval_ROL::KLDivergence< Real >private
hv_ROL::RandVarFunctional< Real >protected
hval_ROL::KLDivergence< Real >private
initialize(const Vector< Real > &x)ROL::KLDivergence< Real >inlinevirtual
KLDivergence(const Real eps=1.e-2)ROL::KLDivergence< Real >inline
KLDivergence(ROL::ParameterList &parlist)ROL::KLDivergence< Real >inline
point_ROL::RandVarFunctional< Real >protected
power(const Real arg, const Real pow) const ROL::KLDivergence< Real >inlineprivate
RandVarFunctional(void)ROL::RandVarFunctional< Real >inline
resetStorage(bool flag=true)ROL::RandVarFunctional< Real >inlinevirtual
scaledGradient_ROL::KLDivergence< Real >private
scaledHessVec_ROL::KLDivergence< Real >private
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
updateGradient(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol)ROL::KLDivergence< 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::KLDivergence< Real >inlinevirtual
updateValue(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol)ROL::KLDivergence< 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