|
ROL
|
This is the complete list of members for ROL::MeanVariance< Real >, including all inherited members.
| checkInputs(void) | ROL::MeanVariance< Real > | inlineprivate |
| coeff_ | ROL::MeanVariance< 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::MeanVariance< 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::MeanVariance< Real > | inlinevirtual |
| getValue(const Vector< Real > &x, const std::vector< Real > &xstat, SampleGenerator< Real > &sampler) | ROL::MeanVariance< Real > | inlinevirtual |
| gradients_ | ROL::MeanVariance< Real > | private |
| gradvecs_ | ROL::MeanVariance< Real > | private |
| gv_ | ROL::RandVarFunctional< Real > | protected |
| hessvecs_ | ROL::MeanVariance< Real > | private |
| hv_ | ROL::RandVarFunctional< Real > | protected |
| initialize(const Vector< Real > &x) | ROL::RandVarFunctional< Real > | inlinevirtual |
| initializeMV(void) | ROL::MeanVariance< Real > | inlineprivate |
| MeanVariance(const Real order, const Real coeff, const Ptr< PositiveFunction< Real > > &pf) | ROL::MeanVariance< Real > | inline |
| MeanVariance(const std::vector< Real > &order, const std::vector< Real > &coeff, const Ptr< PositiveFunction< Real > > &pf) | ROL::MeanVariance< Real > | inline |
| MeanVariance(ROL::ParameterList &parlist) | ROL::MeanVariance< Real > | inline |
| NumMoments_ | ROL::MeanVariance< Real > | private |
| order_ | ROL::MeanVariance< Real > | private |
| point_ | ROL::RandVarFunctional< Real > | protected |
| positiveFunction_ | ROL::MeanVariance< Real > | private |
| 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::MeanVariance< 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::MeanVariance< Real > | inlinevirtual |
| uint typedef | ROL::MeanVariance< Real > | private |
| updateGradient(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol) | ROL::MeanVariance< 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::MeanVariance< Real > | inlinevirtual |
| updateValue(Objective< Real > &obj, const Vector< Real > &x, const std::vector< Real > &xstat, Real &tol) | ROL::MeanVariance< Real > | inlinevirtual |
| useHessVecStorage(bool storage) | ROL::RandVarFunctional< Real > | inline |
| useStorage(bool storage) | ROL::RandVarFunctional< Real > | inline |
| val_ | ROL::RandVarFunctional< Real > | protected |
| values_ | ROL::MeanVariance< Real > | private |
| weight_ | ROL::RandVarFunctional< Real > | protected |
| weight_(0) | ROL::RandVarFunctional< Real > | inline |
| ~RandVarFunctional() | ROL::RandVarFunctional< Real > | inlinevirtual |
1.8.5