Provides an interface to run the trust-region algorithm of Lin and More. More...

#include <ROL_TypeB_LinMoreAlgorithm.hpp>

Inheritance diagram for ROL::TypeB::LinMoreAlgorithm< Real >:

Public Member Functions
	LinMoreAlgorithm (ParameterList &list, const Ptr< Secant< Real >> &secant=nullPtr)

void	run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, BoundConstraint< Real > &bnd, std::ostream &outStream=std::cout) override
	Run algorithm on bound constrained problems (Type-B). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. More...

void	writeHeader (std::ostream &os) const override
	Print iterate header. More...

void	writeName (std::ostream &os) const override
	Print step name. More...

void	writeOutput (std::ostream &os, bool write_header=false) const override
	Print iterate status. More...

Public Member Functions inherited from ROL::TypeB::Algorithm< Real >
virtual	~Algorithm ()

	Algorithm ()
	Constructor, given a step and a status test. More...

void	setStatusTest (const Ptr< StatusTest< Real >> &status, const bool combineStatus=false)

virtual void	run (Problem< Real > &problem, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems (Type-B). This is the primary Type-B interface. More...

virtual void	run (Vector< Real > &x, Objective< Real > &obj, BoundConstraint< Real > &bnd, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems (Type-B). This is the primary Type-B interface. More...

virtual void	run (Vector< Real > &x, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This is the primary Type-B with explicit linear constraints interface. More...

virtual void	run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, const Vector< Real > &linear_eres, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. More...

virtual void	run (Vector< Real > &x, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_icon, Vector< Real > &linear_imul, BoundConstraint< Real > &linear_ibnd, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This is the primary Type-B with explicit linear constraints interface. More...

virtual void	run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_icon, Vector< Real > &linear_imul, BoundConstraint< Real > &linear_ibnd, const Vector< Real > &linear_ires, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. More...

virtual void	run (Vector< Real > &x, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, Constraint< Real > &linear_icon, Vector< Real > &linear_imul, BoundConstraint< Real > &linear_ibnd, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This is the primary Type-B with explicit linear constraints interface. More...

virtual void	run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, BoundConstraint< Real > &bnd, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, const Vector< Real > &linear_eres, Constraint< Real > &linear_icon, Vector< Real > &linear_imul, BoundConstraint< Real > &linear_ibnd, const Vector< Real > &linear_ires, std::ostream &outStream=std::cout)
	Run algorithm on bound constrained problems with explicit linear constraints (Type-B). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. More...

virtual void	writeExitStatus (std::ostream &os) const

Ptr< const AlgorithmState< Real > >	getState () const

void	reset ()

Private Member Functions
void	initialize (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, BoundConstraint< Real > &bnd, std::ostream &outStream=std::cout)

Real	dgpstep (Vector< Real > &s, const Vector< Real > &w, const Vector< Real > &x, const Real alpha, std::ostream &outStream=std::cout) const

Real	dcauchy (Vector< Real > &s, Real &alpha, Real &q, const Vector< Real > &x, const Vector< Real > &g, const Real del, TrustRegionModel_U< Real > &model, Vector< Real > &dwa, Vector< Real > &dwa1, std::ostream &outStream=std::cout)

Real	dprsrch (Vector< Real > &x, Vector< Real > &s, Real &q, const Vector< Real > &g, TrustRegionModel_U< Real > &model, BoundConstraint< Real > &bnd, Vector< Real > &pwa, Vector< Real > &dwa, std::ostream &outStream=std::cout)

Real	dtrqsol (const Real xtx, const Real ptp, const Real ptx, const Real del) const

Real	dtrpcg (Vector< Real > &w, int &iflag, int &iter, const Vector< Real > &g, const Vector< Real > &x, const Real del, TrustRegionModel_U< Real > &model, BoundConstraint< Real > &bnd, const Real tol, const Real stol, const int itermax, Vector< Real > &p, Vector< Real > &q, Vector< Real > &r, Vector< Real > &t, Vector< Real > &pwa, Vector< Real > &dwa, std::ostream &outStream=std::cout) const

void	applyFreeHessian (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, TrustRegionModel_U< Real > &model, BoundConstraint< Real > &bnd, Real &tol, Vector< Real > &pwa) const

void	applyFreePrecond (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, TrustRegionModel_U< Real > &model, BoundConstraint< Real > &bnd, Real &tol, Vector< Real > &dwa, Vector< Real > &pwa) const

Private Attributes
Ptr< TrustRegionModel_U< Real > >	model_
	Container for trust-region model. More...

Real	delMax_
	Maximum trust-region radius (default: ROL_INF) More...

Real	eta0_
	Step acceptance threshold (default: 0.05) More...

Real	eta1_
	Radius decrease threshold (default: 0.05) More...

Real	eta2_
	Radius increase threshold (default: 0.9) More...

Real	gamma0_
	Radius decrease rate (negative rho) (default: 0.0625) More...

Real	gamma1_
	Radius decrease rate (positive rho) (default: 0.25) More...

Real	gamma2_
	Radius increase rate (default: 2.5) More...

Real	TRsafe_
	Safeguard size for numerically evaluating ratio (default: 1e2) More...

Real	eps_
	Safeguard for numerically evaluating ratio. More...

bool	interpRad_
	Interpolate the trust-region radius if ratio is negative (default: false) More...

TRUtils::ETRFlag	TRflag_
	Trust-region exit flag. More...

int	SPflag_
	Subproblem solver termination flag. More...

int	SPiter_
	Subproblem solver iteration count. More...

ESecant	esec_
	Secant type (default: Limited-Memory BFGS) More...

bool	useSecantPrecond_
	Flag to use secant as a preconditioner (default: false) More...

bool	useSecantHessVec_
	Flag to use secant as Hessian (default: false) More...

Real	tol1_
	Absolute tolerance for truncated CG (default: 1e-4) More...

Real	tol2_
	Relative tolerance for truncated CG (default: 1e-2) More...

int	maxit_
	Maximum number of CG iterations (default: 20) More...

int	minit_
	Maximum number of minor (subproblem solve) iterations (default: 10) More...

Real	mu0_
	Sufficient decrease parameter (default: 1e-2) More...

Real	spexp_
	Relative tolerance exponent for subproblem solve (default: 1, range: [1,2]) More...

int	redlim_
	Maximum number of Cauchy point reduction steps (default: 10) More...

int	explim_
	Maximum number of Cauchy point expansion steps (default: 10) More...

Real	alpha_
	Initial Cauchy point step length (default: 1.0) More...

bool	normAlpha_
	Normalize initial Cauchy point step length (default: false) More...

Real	interpf_
	Backtracking rate for Cauchy point computation (default: 1e-1) More...

Real	extrapf_
	Extrapolation rate for Cauchy point computation (default: 1e1) More...

Real	qtol_
	Relative tolerance for computed decrease in Cauchy point computation (default: 1-8) More...

Real	interpfPS_
	Backtracking rate for projected search (default: 0.5) More...

int	pslim_
	Maximum number of projected search steps (default: 20) More...

int	nhess_
	Number of Hessian applications. More...

unsigned	verbosity_
	Output level (default: 0) More...

bool	writeHeader_
	Flag to write header at every iteration. More...

bool	hasEcon_
	Flag signifies if equality constraints exist. More...

Ptr< ReducedLinearConstraint< Real > >	rcon_
	Equality constraint restricted to current active variables. More...

Ptr< NullSpaceOperator< Real > >	ns_
	Null space projection onto reduced equality constraint Jacobian. More...

Additional Inherited Members
Protected Member Functions inherited from ROL::TypeB::Algorithm< Real >
void	initialize (const Vector< Real > &x, const Vector< Real > &g)

Real	optimalityCriterion (const Vector< Real > &x, const Vector< Real > &g, Vector< Real > &primal, std::ostream &outStream=std::cout) const

Protected Attributes inherited from ROL::TypeB::Algorithm< Real >
const Ptr< CombinedStatusTest< Real > >	status_

const Ptr< AlgorithmState< Real > >	state_

Ptr< PolyhedralProjection< Real > >	proj_

Detailed Description

template<typename Real>
class ROL::TypeB::LinMoreAlgorithm< Real >

Provides an interface to run the trust-region algorithm of Lin and More.

Definition at line 61 of file ROL_TypeB_LinMoreAlgorithm.hpp.

Constructor & Destructor Documentation

◆ LinMoreAlgorithm()

template<typename Real >

ROL::TypeB::LinMoreAlgorithm< Real >::LinMoreAlgorithm	(	ParameterList &	list,
		const Ptr< Secant< Real >> &	secant = `nullPtr`
	)

Definition at line 51 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::SECANTMODE_BOTH, ROL::SECANTMODE_FORWARD, ROL::SECANTMODE_INVERSE, and ROL::StringToESecant().

Member Function Documentation

◆ run()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::run	(	Vector< Real > &	x,
		const Vector< Real > &	g,
		Objective< Real > &	obj,
		BoundConstraint< Real > &	bnd,
		std::ostream &	outStream = `std::cout`
	)

overridevirtual

Run algorithm on bound constrained problems (Type-B). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method.

Implements ROL::TypeB::Algorithm< Real >.

Definition at line 154 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Accept, ROL::Vector< Real >::clone(), ROL::Vector< Real >::dual(), ROL::Objective< Real >::gradient(), ROL::TRUtils::NPOSPREDNEG, ROL::TypeB::Algorithm< Real >::optimalityCriterion(), ROL::Vector< Real >::plus(), ROL::TRUtils::POSPREDNEG, ROL::BoundConstraint< Real >::pruneActive(), ROL::Revert, ROL::Vector< Real >::set(), ROL::TRUtils::SUCCESS, ROL::Trial, ROL::TRUtils::TRNAN, ROL::Objective< Real >::update(), ROL::Objective< Real >::value(), ROL::TypeB::Algorithm< Real >::writeExitStatus(), and zero.

Referenced by main().

◆ writeHeader()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::writeHeader ( std::ostream & os ) const

overridevirtual

Print iterate header.

Reimplemented from ROL::TypeB::Algorithm< Real >.

Definition at line 620 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::CG_FLAG_SUCCESS, ROL::CG_FLAG_UNDEFINED, ROL::ECGFlagToString(), ROL::TRUtils::ETRFlagToString(), ROL::NumberToString(), ROL::TRUtils::SUCCESS, and ROL::TRUtils::UNDEFINED.

◆ writeName()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::writeName ( std::ostream & os ) const

overridevirtual

Print step name.

Reimplemented from ROL::TypeB::Algorithm< Real >.

Definition at line 671 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

◆ writeOutput()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::writeOutput	(	std::ostream &	os,
		bool	write_header = `false`
	)		const

overridevirtual

Print iterate status.

Reimplemented from ROL::TypeB::Algorithm< Real >.

Definition at line 678 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

◆ initialize()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::initialize	(	Vector< Real > &	x,
		const Vector< Real > &	g,
		Objective< Real > &	obj,
		BoundConstraint< Real > &	bnd,
		std::ostream &	outStream = `std::cout`
	)

private

Definition at line 106 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Objective< Real >::gradient(), ROL::Initial, ROL::TypeB::Algorithm< Real >::initialize(), ROL::Objective< Real >::update(), and ROL::Objective< Real >::value().

◆ dgpstep()

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::dgpstep	(	Vector< Real > &	s,
		const Vector< Real > &	w,
		const Vector< Real > &	x,
		const Real	alpha,
		std::ostream &	outStream = `std::cout`
	)		const

private

Definition at line 328 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::norm(), and ROL::Vector< Real >::set().

◆ dcauchy()

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::dcauchy	(	Vector< Real > &	s,
		Real &	alpha,
		Real &	q,
		const Vector< Real > &	x,
		const Vector< Real > &	g,
		const Real	del,
		TrustRegionModel_U< Real > &	model,
		Vector< Real > &	dwa,
		Vector< Real > &	dwa1,
		std::ostream &	outStream = `std::cout`
	)

private

Definition at line 338 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::apply(), ROL::Vector< Real >::dot(), ROL::TrustRegionModel_U< Real >::hessVec(), and ROL::Vector< Real >::set().

◆ dprsrch()

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::dprsrch	(	Vector< Real > &	x,
		Vector< Real > &	s,
		Real &	q,
		const Vector< Real > &	g,
		TrustRegionModel_U< Real > &	model,
		BoundConstraint< Real > &	bnd,
		Vector< Real > &	pwa,
		Vector< Real > &	dwa,
		std::ostream &	outStream = `std::cout`
	)

private

Definition at line 427 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::apply(), ROL::Vector< Real >::dot(), ROL::TrustRegionModel_U< Real >::hessVec(), ROL::Vector< Real >::plus(), and ROL::Vector< Real >::set().

◆ dtrqsol()

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::dtrqsol	(	const Real	xtx,
		const Real	ptp,
		const Real	ptx,
		const Real	del
	)		const

private

Definition at line 467 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References zero.

◆ dtrpcg()

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::dtrpcg	(	Vector< Real > &	w,
		int &	iflag,
		int &	iter,
		const Vector< Real > &	g,
		const Vector< Real > &	x,
		const Real	del,
		TrustRegionModel_U< Real > &	model,
		BoundConstraint< Real > &	bnd,
		const Real	tol,
		const Real	stol,
		const int	itermax,
		Vector< Real > &	p,
		Vector< Real > &	q,
		Vector< Real > &	r,
		Vector< Real > &	t,
		Vector< Real > &	pwa,
		Vector< Real > &	dwa,
		std::ostream &	outStream = `std::cout`
	)		const

private

Definition at line 489 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::apply(), ROL::Vector< Real >::axpy(), ROL::Vector< Real >::dot(), ROL::Vector< Real >::norm(), ROL::Vector< Real >::plus(), ROL::Vector< Real >::scale(), ROL::Vector< Real >::set(), zero, and ROL::Vector< Real >::zero().

◆ applyFreeHessian()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::applyFreeHessian	(	Vector< Real > &	hv,
		const Vector< Real > &	v,
		const Vector< Real > &	x,
		TrustRegionModel_U< Real > &	model,
		BoundConstraint< Real > &	bnd,
		Real &	tol,
		Vector< Real > &	pwa
	)		const

private

Definition at line 569 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::dual(), ROL::TrustRegionModel_U< Real >::hessVec(), ROL::BoundConstraint< Real >::pruneActive(), ROL::Vector< Real >::set(), and zero.

◆ applyFreePrecond()

template<typename Real >

void ROL::TypeB::LinMoreAlgorithm< Real >::applyFreePrecond	(	Vector< Real > &	hv,
		const Vector< Real > &	v,
		const Vector< Real > &	x,
		TrustRegionModel_U< Real > &	model,
		BoundConstraint< Real > &	bnd,
		Real &	tol,
		Vector< Real > &	dwa,
		Vector< Real > &	pwa
	)		const

private

Definition at line 590 of file ROL_TypeB_LinMoreAlgorithm_Def.hpp.

References ROL::Vector< Real >::dual(), ROL::TrustRegionModel_U< Real >::precond(), ROL::BoundConstraint< Real >::pruneActive(), ROL::Vector< Real >::set(), and zero.

Member Data Documentation

◆ model_

template<typename Real >

Ptr<TrustRegionModel_U<Real> > ROL::TypeB::LinMoreAlgorithm< Real >::model_

private

Container for trust-region model.

Definition at line 63 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ delMax_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::delMax_

private

Maximum trust-region radius (default: ROL_INF)

Definition at line 66 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ eta0_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::eta0_

private

Step acceptance threshold (default: 0.05)

Definition at line 67 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ eta1_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::eta1_

private

Radius decrease threshold (default: 0.05)

Definition at line 68 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ eta2_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::eta2_

private

Radius increase threshold (default: 0.9)

Definition at line 69 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ gamma0_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::gamma0_

private

Radius decrease rate (negative rho) (default: 0.0625)

Definition at line 70 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ gamma1_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::gamma1_

private

Radius decrease rate (positive rho) (default: 0.25)

Definition at line 71 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ gamma2_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::gamma2_

private

Radius increase rate (default: 2.5)

Definition at line 72 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ TRsafe_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::TRsafe_

private

Safeguard size for numerically evaluating ratio (default: 1e2)

Definition at line 73 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ eps_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::eps_

private

Safeguard for numerically evaluating ratio.

Definition at line 74 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ interpRad_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::interpRad_

private

Interpolate the trust-region radius if ratio is negative (default: false)

Definition at line 75 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ TRflag_

template<typename Real >

TRUtils::ETRFlag ROL::TypeB::LinMoreAlgorithm< Real >::TRflag_

private

Trust-region exit flag.

Definition at line 78 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ SPflag_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::SPflag_

private

Subproblem solver termination flag.

Definition at line 79 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ SPiter_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::SPiter_

private

Subproblem solver iteration count.

Definition at line 80 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ esec_

template<typename Real >

ESecant ROL::TypeB::LinMoreAlgorithm< Real >::esec_

private

Secant type (default: Limited-Memory BFGS)

Definition at line 83 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ useSecantPrecond_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::useSecantPrecond_

private

Flag to use secant as a preconditioner (default: false)

Definition at line 84 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ useSecantHessVec_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::useSecantHessVec_

private

Flag to use secant as Hessian (default: false)

Definition at line 85 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ tol1_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::tol1_

private

Absolute tolerance for truncated CG (default: 1e-4)

Definition at line 88 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ tol2_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::tol2_

private

Relative tolerance for truncated CG (default: 1e-2)

Definition at line 89 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ maxit_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::maxit_

private

Maximum number of CG iterations (default: 20)

Definition at line 90 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ minit_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::minit_

private

Maximum number of minor (subproblem solve) iterations (default: 10)

Definition at line 93 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ mu0_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::mu0_

private

Sufficient decrease parameter (default: 1e-2)

Definition at line 94 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ spexp_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::spexp_

private

Relative tolerance exponent for subproblem solve (default: 1, range: [1,2])

Definition at line 95 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ redlim_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::redlim_

private

Maximum number of Cauchy point reduction steps (default: 10)

Definition at line 96 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ explim_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::explim_

private

Maximum number of Cauchy point expansion steps (default: 10)

Definition at line 97 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ alpha_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::alpha_

private

Initial Cauchy point step length (default: 1.0)

Definition at line 98 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ normAlpha_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::normAlpha_

private

Normalize initial Cauchy point step length (default: false)

Definition at line 99 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ interpf_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::interpf_

private

Backtracking rate for Cauchy point computation (default: 1e-1)

Definition at line 100 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ extrapf_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::extrapf_

private

Extrapolation rate for Cauchy point computation (default: 1e1)

Definition at line 101 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ qtol_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::qtol_

private

Relative tolerance for computed decrease in Cauchy point computation (default: 1-8)

Definition at line 102 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ interpfPS_

template<typename Real >

Real ROL::TypeB::LinMoreAlgorithm< Real >::interpfPS_

private

Backtracking rate for projected search (default: 0.5)

Definition at line 103 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ pslim_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::pslim_

private

Maximum number of projected search steps (default: 20)

Definition at line 104 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ nhess_

template<typename Real >

int ROL::TypeB::LinMoreAlgorithm< Real >::nhess_

mutableprivate

Number of Hessian applications.

Definition at line 106 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ verbosity_

template<typename Real >

unsigned ROL::TypeB::LinMoreAlgorithm< Real >::verbosity_

private

Output level (default: 0)

Definition at line 107 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ writeHeader_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::writeHeader_

private

Flag to write header at every iteration.

Definition at line 108 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ hasEcon_

template<typename Real >

bool ROL::TypeB::LinMoreAlgorithm< Real >::hasEcon_

private

Flag signifies if equality constraints exist.

Definition at line 110 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ rcon_

template<typename Real >

Ptr<ReducedLinearConstraint<Real> > ROL::TypeB::LinMoreAlgorithm< Real >::rcon_

private

Equality constraint restricted to current active variables.

Definition at line 111 of file ROL_TypeB_LinMoreAlgorithm.hpp.

◆ ns_

template<typename Real >

Ptr<NullSpaceOperator<Real> > ROL::TypeB::LinMoreAlgorithm< Real >::ns_

private

Null space projection onto reduced equality constraint Jacobian.

Definition at line 112 of file ROL_TypeB_LinMoreAlgorithm.hpp.

The documentation for this class was generated from the following files:

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

template<typename Real> class ROL::TypeB::LinMoreAlgorithm< Real >

Constructor & Destructor Documentation

◆ LinMoreAlgorithm()

Member Function Documentation

◆ run()

◆ writeHeader()

◆ writeName()

◆ writeOutput()

◆ initialize()

◆ dgpstep()

◆ dcauchy()

◆ dprsrch()

◆ dtrqsol()

◆ dtrpcg()

◆ applyFreeHessian()

◆ applyFreePrecond()

Member Data Documentation

◆ model_

◆ delMax_

◆ eta0_

◆ eta1_

◆ eta2_

◆ gamma0_

◆ gamma1_

◆ gamma2_

◆ TRsafe_

◆ eps_

◆ interpRad_

◆ TRflag_

◆ SPflag_

◆ SPiter_

◆ esec_

◆ useSecantPrecond_

◆ useSecantHessVec_

◆ tol1_

◆ tol2_

◆ maxit_

◆ minit_

◆ mu0_

◆ spexp_

◆ redlim_

◆ explim_

◆ alpha_

◆ normAlpha_

◆ interpf_

◆ extrapf_

◆ qtol_

◆ interpfPS_

◆ pslim_

◆ nhess_

◆ verbosity_

◆ writeHeader_

◆ hasEcon_

◆ rcon_

◆ ns_

template<typename Real>
class ROL::TypeB::LinMoreAlgorithm< Real >