ROL
ROL::FDivergence< Real > Member List

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

check(std::ostream &outStream=std::cout) const ROL::FDivergence< Real >inline
checkInputs(void) const ROL::FDivergence< 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
FDivergence(const Real thresh)ROL::FDivergence< Real >inline
FDivergence(ROL::ParameterList &parlist)ROL::FDivergence< Real >inline
Fdual(Real x, int deriv=0) const =0ROL::FDivergence< Real >pure virtual
firstReset_ROL::RandVarFunctional< Real >protected
Fprimal(Real x, int deriv=0) const =0ROL::FDivergence< Real >pure virtual
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::FDivergence< 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::FDivergence< Real >inlinevirtual
getValue(const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler)ROL::FDivergence< Real >inlinevirtual
gv_ROL::RandVarFunctional< Real >protected
hv_ROL::RandVarFunctional< Real >protected
initialize(const Vector< Real > &x)ROL::FDivergence< Real >inlinevirtual
point_ROL::RandVarFunctional< Real >protected
RandVarFunctional(void)ROL::RandVarFunctional< Real >inline
resetStorage(bool flag=true)ROL::RandVarFunctional< Real >inlinevirtual
resetStorage(UpdateType type)ROL::RandVarFunctional< Real >inlinevirtual
setHessVecStorage(const Ptr< ScalarController< Real >> &gradvec_storage, const Ptr< VectorController< Real >> &hessvec_storage)ROL::RandVarFunctional< Real >inlinevirtual
setSample(const std::vector< Real > &point, const Real weight)ROL::RandVarFunctional< Real >inlinevirtual
setStorage(const Ptr< ScalarController< Real >> &value_storage, const Ptr< VectorController< Real >> &gradient_storage)ROL::RandVarFunctional< Real >inlinevirtual
thresh_ROL::FDivergence< Real >private
updateGradient(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol)ROL::FDivergence< 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::FDivergence< Real >inlinevirtual
updateValue(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol)ROL::FDivergence< Real >inlinevirtual
useHessVecStorage(bool storage)ROL::RandVarFunctional< Real >inline
useStorage(bool storage)ROL::RandVarFunctional< Real >inline
val_ROL::RandVarFunctional< Real >protected
valLam2_ROL::FDivergence< Real >private
valLam_ROL::FDivergence< Real >private
valMu2_ROL::FDivergence< Real >private
valMu_ROL::FDivergence< Real >private
weight_ROL::RandVarFunctional< Real >protected
weight_(0)ROL::RandVarFunctional< Real >inline
~RandVarFunctional()ROL::RandVarFunctional< Real >inlinevirtual