MoochoPack Namespace Reference

Namespaces
	PBFGSPack

Classes
class	NLPAlgoConfigIP
	This is a do all configuration class for NLPAlgo. More...
class	NLPAlgoConfigMamaJama
	This is a do all configuration class for NLPAlgo. More...
class	MoochoSolver
	Universal interface to a MOOCHO solver. More...
class	DecompositionSystemStateStepBuilderStd
	Standard builder object for creating DecompositionSystem, EvalNewPoint Step and other objects and setting up some of the state object. More...
class	InfeasibleConstraints
class	LineSearchFailure
	Thrown if a line search failure occurs. More...
class	TestFailed
	Thrown if a runtime test failed. More...
class	QPFailure
	Thrown if a the QP failed and was not corrected. More...
class	IpState
class	NLPAlgo
	rSQP Algorithm control class. More...
class	NLPAlgoClientInterface
	Interface that smart clients use to set the algorithm configuration object that defines the rSQP algorithm to be used to solve the NLP. More...
class	NLPAlgoConfig
	Interface for objects responsible for configuring an rSQP algorithm. More...
class	NLPAlgoContainer
	Implementation for NLPAlgo solver. More...
class	NLPAlgoInterface
	Interface NLPAlgoContainer uses to access NLPAlgo. More...
class	NLPAlgoState
	Reduced space SQP state encapsulation interface. More...
class	NLPSolverClientInterface
	This is the most basic interface that clients use to solve an NLP. More...
class	NLPSolverClientInterfaceSetOptions
	Set options for NLPSolverClientInterface from an OptionsFromStream object. More...
class	act_set_stats_iq_member
	Class for object that attempts to return an IterQuantityAccess<ActSetStats> from an AlgorithmState object with the name act_set_stats_name. More...
class	ActSetStats
	Class for storing statistics about the changes in the active set of an SQP algorithm. More...
class	ActSetStats_AddedStep
	Updates the active set statistics for the current iteration. More...
class	BFGSUpdate_Strategy
	Strategy interface which contains the guts for a dampened BFGS update. More...
class	BFGSUpdate_StrategySetOptions
	Set options for BFGSUpdate_Strategy from an OptionsFromStream object. More...
class	CalcD_vStep_Step
	Calculates dvl_k = mu*invXl_k*e - vl_k - invXl_k*Vl_k*d_k and dvu_k = mu*invXu_k*e - vu_k + invXu_k*Vu_k*d_k More...
class	CalcDFromYPY_Step
	Calculates d = Ypy More...
class	CalcDFromYPYZPZ_Step
	Calculates d = Ypy + Zpz More...
class	CalcDFromZPZ_Step
	Calculates d = Zpz More...
class	CalcLambdaIndepStd_AddedStep
	Calculates the lagrange multipliers for the independent constraints. More...
class	CalcReducedGradLagrangianStd_AddedStep
	Calculates the reduced gradient of the Lagrangian rGL = rGf + Z' * nu + GcUP' * lambda(equ_undecomp) + GhUP' * lambdaI(inequ_undecomp) More...
class	CheckConvergence_Strategy
	Strategy interface for performing convergence checks. More...
class	CheckConvergence_StrategySetOptions
	Set options for CheckConvergence_Strategy from an OptionsFromStream object. More...
class	CheckConvergenceIP_Strategy
	Implementation of CheckConvergence_Strategy interface. More...
class	CheckConvergenceStd_AddedStep
	Check for convergence. More...
class	CheckConvergenceStd_AddedStepSetOptions
	Set options for CheckConvergenceStd_AddedStep from an OptionsFromStream object. More...
class	CheckConvergenceStd_Strategy
	Implementation of CheckConvergence_Strategy interface. More...
class	CheckDecompositionFromPy_Step
	Check if the decomposition is going singular and if it is select a new decomposition. More...
class	CheckDecompositionFromRPy_Step
	Check if the decomposition is going singular and if it is select a new decomposition. More...
class	CheckDescentQuasiNormalStep_Step
	Checks for descent in the decomposed equality constraints with respect to the range space step Ypy using finite differences. More...
class	CheckSkipBFGSUpdateStd_Step
	Checks if a BFGS update should be preformed. More...
class	CheckSkipBFGSUpdateStd_StepSetOptions
	Set options for CheckSkipBFGSUpdateStd_Step from a OptionsFromStream object. More...
class	CrossTermExactStd_Step
	w_k = Z_k' * HL_k * Ypy_k More...
class	DampenCrossTermStd_Step
	Compute a dampening term zeta_k for the cross term w_k such that Gf'*Z*pz <= 0. More...
class	DecompositionSystemHandler_Strategy
	Interface for range/null decomposition handling. More...
class	DecompositionSystemHandlerSelectNew_Strategy
	Interface for range/null decomposition handling. More...
class	DecompositionSystemHandlerStd_Strategy
	Subclass for updating the range/null space decomposition using the base DecompositionSystem interface only. More...
class	DecompositionSystemHandlerVarReductPerm_Strategy
	Subclass for selecting and updating the range/null space decomposition using the DecompositionSystemVarReductPerm interface. More...
class	EvalNewPointStd_Step
	Standard new point evaluation step class. More...
class	EvalNewPointTailoredApproach_Step
	Base class for evaluating a new point for the "Tailored Approach". More...
class	EvalNewPointTailoredApproach_StepSetOptions
	Set options for EvalNewPointTailoredApproach_Step from an OptionsFromStream object. More...
class	EvalNewPointTailoredApproachCoordinate_Step
	Implements "coordinate" decompostion for "Tailored Appraoch". More...
class	EvalNewPointTailoredApproachOrthogonal_Step
	Implements "orthogonal" decompostion for "Tailored Appraoch". More...
class	FeasibilityStep_Strategy
	Abstract interface for a strategy object that will compute a step that will improve feasibility (at least descent) {abstract}. More...
class	FeasibilityStepReducedStd_Strategy
	Implements the feasibility step computation for reduced space SQP. More...
class	FeasibilityStepReducedStd_StrategySetOptions
	Set options for FeasibilityStepReducedStd_Strategy from an OptionsFromStream object. More...
class	InitFinDiffReducedHessian_Step
	Initializes the reduced hessian using a single finite difference along the null space of the constraints. More...
class	InitFinDiffReducedHessian_StepSetOptions
	Set options for InitFinDiffReducedHessian_Step from an OptionsFromStream object. More...
class	LineSearch2ndOrderCorrect_Step
	Implements second order correction. More...
class	LineSearch2ndOrderCorrect_StepSetOptions
	Set options for LineSearch2ndOrderCorrect_Step from an OptionsFromStream object. More...
class	LineSearchDirect_Step
	Delegates the line search to a DirectLineSearch_Strategy object. More...
class	LineSearchFailureNewDecompositionSelection_Step
	Directs the selection of a new decomposition if the line search fails. More...
class	FilterEntry
class	LineSearchFilter_Step
	Filter line-search step class. More...
class	LineSearchFullStep_Step
	Takes the full step x_kp1 = x_k + d_k (d_k = Ypy_k + Zpz_k). More...
class	LineSearchFullStepAfterKIter_Step
	Changes from a line search step to just taking full steps after full_steps_after_k iterations. More...
class	LineSearchNLE_Step
	Delegates the line search to a DirectLineSearch_Strategy object. More...
class	LineSearchWatchDog_Step
	Implements watchdog line search. More...
class	LineSearchWatchDog_StepSetOptions
	Set options for LineSearchWatchDog_Step from a OptionsFromStream object. More...
class	MeritFunc_DummyUpdate_Step
	Simply updates merit_func_nlp_k = merit_func_nlp_km1 More...
class	MeritFunc_ModifiedL1LargerSteps_AddedStep
	This function increases the penalty parameters of the modifed L1 merit function to allow for larger steps by taking advantage of constraints that are reduced for a full step. More...
class	MeritFunc_ModifiedL1LargerSteps_AddedStepSetOptions
	Set options for MeritFunc_ModifiedL1LargerSteps_AddedStep from a OptionsFromStream object. More...
class	MeritFunc_PenaltyParamsUpdateWithMult_AddedStep
	Updates a set of penalty parameters for a merit function as: mu(j) = max( mu(j), |lambda_k(j)| ). More...
class	MeritFunc_PenaltyParamUpdate_AddedStep
	Base class for steps that update penalty parameters based on the Lagrange multipliers lambda_k (or some approximation to them). More...
class	MeritFunc_PenaltyParamUpdate_AddedStepSetOptions
	Set options for MeritFunc_PenaltyParamUpdate_AddedStep from a OptionsFromStream object. More...
class	MeritFunc_PenaltyParamUpdateGuts_AddedStep
	Updates the penalty parameter for a merit function as: mu_k = max( mu_km1, min_mu ). More...
class	MeritFunc_PenaltyParamUpdateMultFree_AddedStep
	Specializes the update of the penalty parameter for a merit function as: min_mu = |(Gf_k+nu_k)'* Ypy_k| / ||c_k||1. More...
class	MeritFunc_PenaltyParamUpdateWithMult_AddedStep
	Specializes the update of the penalty parameter for a merit function as: min_mu =||lambda||inf. More...
class	MoochoTrackerConsoleStd
	This rSQP iteration class provides a tablular output suitable for an 80 char wide console. More...
class	MoochoTrackerStatsStd
	This is a simple track class for getting statistics about a solved (or not solved) NLP. More...
class	MoochoTrackerSummaryStd
	This class simply outputs the convergence information for each iteration. More...
class	MoochoTrackerXMLSummary
	This class outputs an XML summary file of the algorithm results and performance. More...
class	NewDecompositionSelection_Strategy
	Abstract interface for an object that directs the selection of a new decomposition. More...
class	NewDecompositionSelectionStd_Strategy
	Just force the decomposition system object to select a new decomposition and let everyone else fend for themselves. More...
class	NumFixedDepIndep_AddedStep
	Computes and outputs the number of fixed variables from the dependent and independent set.. More...
class	PostEvalNewPointBarrier_Step
	Standard evaluation step class for extra parameters in primal/dual barrier method. More...
class	PostProcessBarrierLineSearch_Step
	Fraction to boundary rule for calculating alpha max. More...
class	PreEvalNewPointBarrier_Step
	Standard evaluation step class for extra parameters in primal/dual barrier method. More...
class	PreEvalNewPointBarrier_StepSetOptions
class	PreProcessBarrierLineSearch_Step
	Fraction to boundary rule for calculating alpha max. More...
class	PreProcessBarrierLineSearch_StepSetOptions
class	qp_solver_stats_iq_member
	Class for object that attempts to return an IterQuantityAccess<QPSolverStats> from an AlgorithmState object with the name qp_solver_stats_name. More...
class	QPFailureReinitReducedHessian_Step
	Directs the algorithm to reinitalize the reduced Hessian on the event of a QP failure. More...
class	quasi_newton_stats_iq_member
	Class for object that attempts to return an IterQuantityAccess<QuasiNewtonStats> from an AlgorithmState object with the name quasi_newton_stats_name. More...
class	QuasiNewtonStats
	Class for storing statistics about the Quasi-Newton updating. More...
class	QuasiNormalStepStd_Step
	Calculates the range space step by, solving for py = -inv(R)*c(equ_decomp), then setting Ypy = Y * py. More...
class	QuasiRangeSpaceStep_Strategy
	Abstract interface for a strategy object that will compute a step that will approximalty solve a range space subproblem {abstract}. More...
class	QuasiRangeSpaceStepStd_Strategy
	Strategy class for computing a quasi-range-space step by solving the approximate range space problem directly. More...
class	QuasiRangeSpaceStepTailoredApproach_Strategy
	Strategy class for computing a quasi range space step for the tailored approach NLP interface. More...
class	ReducedGradientStd_Step
	Computes the reducecd gradient of the objective rGf_k = Z_k' * Gf_k More...
class	ReducedHessianExactStd_Step
	Computes the exact reduced Hessian rHL_k = Z_k' * HL_k * Z_k. More...
class	ReducedHessianSecantUpdate_Strategy
	Strategy interface for performing secant updates {abstract}. More...
class	ReducedHessianSecantUpdateBFGSFull_Strategy
	Perform BFGS updates on full reduced Hessian. More...
class	ReducedHessianSecantUpdateBFGSProjected_Strategy
	Perform BFGS updates on only the free independent (super basic) variables. More...
class	ReducedHessianSecantUpdateBFGSProjected_StrategySetOptions
	Set options for ReducedHessianSecantUpdateBFGSProjected_Strategy from a OptionsFromStream object. More...
class	ReducedHessianSecantUpdateLPBFGS_Strategy
	Perform BFGS updates on only the free independent (super basic) variables. More...
class	ReducedHessianSecantUpdateLPBFGS_StrategySetOptions
	Set options for ReducedHessianSecantUpdateBFGSProjected_Strategy from a OptionsFromStream object. More...
class	ReducedHessianSecantUpdateStd_Step
	Updates rHL_k using a secant update. More...
class	ReducedHessianSerialization_Step
	Serializes rHL_k to and from a file. More...
class	SetDBoundsStd_AddedStep
	Computes the bounds for the QP subproblem from the NLP bounds. More...
class	TangentialStepIP_Step
	Null Space Step for Interior Point algorithm. More...
class	TangentialStepWithInequStd_Step
	Solves the reduced QP subproblem with bounds and/or general inequalities. More...
class	TangentialStepWithInequStd_StepSetOptions
	Set options for TangentialStepWithInequStd_Step from an OptionsFromStream object. More...
class	TangentialStepWithoutBounds_Step
	Solves the unconstrained QP subproblem: min qp_grad' * pz + (1/2) * pz' * rHL * pz. More...
class	UpdateBarrierParameter_Step
	Barrier Parameter (mu) Update. More...
class	UpdateBarrierParameter_StepSetOptions
class	UpdateReducedSigma_Step
	Standard class for updating the reduced sigma for interior point optimization. More...
class	UpdateReducedSigma_StepSetOptions
class	MoochoThyraSolver
	MOOCHO NLP Solver class for models represented through Thyra::ModelEvaluator. More...

Typedefs
typedef std::list< FilterEntry >	Filter_T

Enumerations
enum	EJournalOutputLevel {   PRINT_NOTHING = 0, PRINT_BASIC_ALGORITHM_INFO = 1, PRINT_ALGORITHM_STEPS = 2, PRINT_ACTIVE_SET = 3,   PRINT_VECTORS = 4, PRINT_ITERATION_QUANTITIES = 5 }
	enum for journal output. More...

Functions
NLPAlgo &	rsqp_algo (Algorithm &algo)
	Convert from a Algorithm to a NLPAlgo. More...
const NLPAlgo &	rsqp_algo (const Algorithm &algo)
	Convert from a Algorithm to a NLPAlgo. More...
Teuchos::EVerbosityLevel	convertToVerbLevel (const EJournalOutputLevel output_level)
	Conver to Teuchos::EVerbosityLevel. More...
void	active_set_change (const SpVectorSlice &nu_k, const SpVectorSlice &nu_km1, Range1D indep, EJournalOutputLevel olevel, std::ostream *out, size_type *num_adds, size_type *num_drops, size_type *num_active_indep, size_type *num_adds_indep, size_type *num_drops_indep)
	Calculate the change in the active set and output change if asked to. More...
void	get_init_fixed_free_indep (const size_type n, const size_type r, const SpVectorSlice &nu_indep, const value_type super_basic_mult_drop_tol, EJournalOutputLevel olevel, std::ostream &out, size_type *n_pz_X, size_type *n_pz_R, size_type i_x_free[], size_type i_x_fixed[], ConstrainedOptPack::EBounds bnd_fixed[])
	Determine the set of initially fixed and free independent variables. More...
value_type	MIN (value_type x, value_type y)
value_type	MAX (value_type x, value_type y)

Variables
const std::string	barrier_parameter_name = "barrier_parameter"
const std::string	barrier_obj_name = "barrier_obj"
const std::string	grad_barrier_obj_name = "grad_barrier_obj"
const std::string	e_tol_name = "e_tol"
const std::string	comp_err_mu_name = "comp_err_mu"
const std::string	Vu_name = "Vu"
const std::string	Vl_name = "Vl"
const std::string	invXu_name = "invXu"
const std::string	invXl_name = "invXl"
const std::string	rHB_name = "rHB"
const std::string	B_name = "B"
const std::string	Sigma_name = "Sigma"
const std::string	w_sigma_name = "w_sigma"
const std::string	dvl_name = "dvl"
const std::string	dvu_name = "dvu"
const std::string	alpha_vl_name = "alpha_vl"
const std::string	alpha_vu_name = "alpha_vu"
const std::string	num_basis_name = "num_basis"
const std::string	x_name = "x"
const std::string	f_name = "f"
const std::string	Gf_name = "Gf"
const std::string	HL_name = "HL"
const std::string	c_name = "c"
const std::string	h_name
const std::string	Gc_name = "Gc"
const std::string	Y_name = "Y"
const std::string	Z_name = "Z"
const std::string	R_name = "R"
const std::string	Uy_name = "Uy"
const std::string	Uz_name = "Uz"
const std::string	py_name = "py"
const std::string	Ypy_name = "Ypy"
const std::string	pz_name = "pz"
const std::string	Zpz_name = "Zpz"
const std::string	d_name = "d"
const std::string	rGf_name = "rGf"
const std::string	rHL_name = "rHL"
const std::string	w_name = "w"
const std::string	zeta_name = "zeta"
const std::string	qp_grad_name = "qp_grad"
const std::string	eta_name = "eta"
const std::string	alpha_name = "alpha"
const std::string	merit_func_nlp_name = "merit_func_nlp"
const std::string	mu_name = "mu"
const std::string	phi_name = "phi"
const std::string	opt_kkt_err_name = "opt_kkt_err"
const std::string	feas_kkt_err_name = "feas_kkt_err"
const std::string	comp_kkt_err_name = "comp_kkt_err"
const std::string	GL_name = "GL"
const std::string	rGL_name = "rGL"
const std::string	lambda_name = "lambda"
const std::string	nu_name = "nu"
const std::string	act_set_stats_name = "act_set_stats"
	Name given to the active set statistics iteration quantity. More...
const std::string	dl_name = "dl"
const std::string	du_name = "du"
const std::string	FILTER_IQ_STRING = "LS_FilterEntries"
const std::string	qp_solver_stats_name = "qp_solver_stats"
	Name given to the active set statistics iteration quantity. More...
const std::string	quasi_newton_stats_name = "quasi_newton_stats"
	Name given to the quasi-Newton updating staistics iteration quantity. More...
const char	UpdateReducedSigma_opt_grp_name [] = "UpdateReducedSigma"

Names for MOOCHOsteps
const std::string	EvalNewPoint_name = "EvalNewPoint"
const std::string	ReducedGradient_name = "ReducedGradient"
const std::string	ReducedHessian_name = "ReducedHessian"
const std::string	QuasiNormalStep_name = "QuasiNormalStep"
const std::string	TangentialStep_name = "TangentialStep"
const std::string	SearchDirec_name = "SearchDirec"
const std::string	LineSearch_name = "LineSearch"
const std::string	CheckConvergence_name = "CheckConvergence"
const std::string	CalcLambdaIndep_name = "CalcLambdaIndep"
const std::string	CalcReducedGradLagrangian_name = "CalcReducedGradLagrangian"
const std::string	CheckSkipBFGSUpdate_name = "CheckSkipBFGSUpdate"
const std::string	CalcDFromYPYZPZ_name = "CalcDFromYPYZPZ"

Typedef Documentation

typedef std::list< FilterEntry > MoochoPack::Filter_T

Definition at line 71 of file MoochoPack_LineSearchFilter_Step.hpp.

Enumeration Type Documentation

enum MoochoPack::EJournalOutputLevel

enum for journal output.

Enumerator
PRINT_NOTHING
PRINT_BASIC_ALGORITHM_INFO
PRINT_ALGORITHM_STEPS
PRINT_ACTIVE_SET
PRINT_VECTORS
PRINT_ITERATION_QUANTITIES

Definition at line 61 of file MoochoPack_Types.hpp.

Function Documentation

NLPAlgo& MoochoPack::rsqp_algo ( Algorithm &  algo )

inline

Convert from a Algorithm to a NLPAlgo.

Definition at line 52 of file MoochoPack_moocho_algo_conversion.hpp.

const NLPAlgo& MoochoPack::rsqp_algo ( const Algorithm &  algo )

inline

Convert from a Algorithm to a NLPAlgo.

Definition at line 57 of file MoochoPack_moocho_algo_conversion.hpp.

Teuchos::EVerbosityLevel MoochoPack::convertToVerbLevel ( const EJournalOutputLevel  output_level )

inline

Conver to Teuchos::EVerbosityLevel.

Definition at line 71 of file MoochoPack_Types.hpp.

void MoochoPack::active_set_change	(	const SpVectorSlice &	nu_k,
		const SpVectorSlice &	nu_km1,
		Range1D	indep,
		EJournalOutputLevel	olevel,
		std::ostream *	out,
		size_type *	num_adds,
		size_type *	num_drops,
		size_type *	num_active_indep,
		size_type *	num_adds_indep,
		size_type *	num_drops_indep
	)

Calculate the change in the active set and output change if asked to.

ToDo: Add more description of the output you get.

Parameters

nu_k	[in] Multipliers for variable bounds for iteration k.
num_km1	[in] Multipliers for variable bounds for iteration k-1
olevel	[in] Specifies the output level. We have:\ PRINT_NOTHING : No output is sent to out\ PRINT_ALGORITHM_STEPS : Just the number of additions and deletions to the active set and the total number of active constraints is output.\ PRINT_ACTIVE_SET : Enumerates which variable were added and dropped from the active set.\
num_adds	[out] Gives the total number of variables fixed at a bound added to the active set.
num_drops	[out] Gives the total number of variables freed from a bound and dropped from the active set.
num_adds_indep	[out] Gives the number of independent variables fixed at a bound added to the active set.
num_drops_indep	[out] Gives the number of independent variables freed from a bound and dropped from the active set.
out	[O] Target for output.

void MoochoPack::get_init_fixed_free_indep	(	const size_type	n,
		const size_type	r,
		const SpVectorSlice &	nu_indep,
		const value_type	super_basic_mult_drop_tol,
		EJournalOutputLevel	olevel,
		std::ostream &	out,
		size_type *	n_pz_X,
		size_type *	n_pz_R,
		size_type	i_x_free[],
		size_type	i_x_fixed[],
		ConstrainedOptPack::EBounds	bnd_fixed[]
	)

Determine the set of initially fixed and free independent variables.

This function will drop all but one of the fixed independent variables whos Lagrange multiplier is above a predefined value.

ToDo: Finish documentation.

Parameters

n	[in] Total number of variables.
r	[in] Number of decomposed constraints.
nu_indep	[in] Sparse vector (size == n-r) of Lagrange multipliers for the independent variables.
super_basic_mult_drop_tol	[in] Tolerance of nu_indep(i)/||nu_indep||inf below which active variables will not be dropped from the superbasis.
olevel	[in] Printing level.
out	[out] Stream the output is printed to based on olevel.
n_pz_X	[out] Number of dropped super basic variables (n_pz_X <= nu_indep.nz()).
n_pz_R	[out] Number of free super basic variables (n-r == n_pz_R + n_pz_X)
i_x_free	[out] Array (size >= n_pz_R) of indices the free independent (superbasic) variables.
i_x_fixed	[out] Array (size >= n_pz_X) of indices the droped (nonbasic) variables.
bnd_fixed	[out] Array (size >= n_pz_X) of the bounds for the dropped (nonbasic) variables.

value_type MoochoPack::MIN	(	value_type	x,
		value_type	y
	)

Definition at line 116 of file MoochoPack_LineSearchFilter_Step.cpp.

value_type MoochoPack::MAX	(	value_type	x,
		value_type	y
	)

Definition at line 119 of file MoochoPack_LineSearchFilter_Step.cpp.

Variable Documentation

const std::string MoochoPack::barrier_parameter_name = "barrier_parameter"

Definition at line 46 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::barrier_obj_name = "barrier_obj"

Definition at line 47 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::grad_barrier_obj_name = "grad_barrier_obj"

Definition at line 48 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::e_tol_name = "e_tol"

Definition at line 49 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::comp_err_mu_name = "comp_err_mu"

Definition at line 50 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::Vu_name = "Vu"

Definition at line 51 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::Vl_name = "Vl"

Definition at line 52 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::invXu_name = "invXu"

Definition at line 53 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::invXl_name = "invXl"

Definition at line 54 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::rHB_name = "rHB"

Definition at line 55 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::B_name = "B"

Definition at line 56 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::Sigma_name = "Sigma"

Definition at line 57 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::w_sigma_name = "w_sigma"

Definition at line 58 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::dvl_name = "dvl"

Definition at line 59 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::dvu_name = "dvu"

Definition at line 60 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::alpha_vl_name = "alpha_vl"

Definition at line 61 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::alpha_vu_name = "alpha_vu"

Definition at line 62 of file MoochoPack_IpState.cpp.

const std::string MoochoPack::act_set_stats_name = "act_set_stats"

Name given to the active set statistics iteration quantity.

Definition at line 45 of file MoochoPack_act_set_stats.cpp.

const std::string MoochoPack::dl_name = "dl"

Definition at line 44 of file MoochoPack_d_bounds_iter_quant.cpp.

const std::string MoochoPack::du_name = "du"

Definition at line 45 of file MoochoPack_d_bounds_iter_quant.cpp.

const std::string MoochoPack::FILTER_IQ_STRING = "LS_FilterEntries"

Definition at line 73 of file MoochoPack_LineSearchFilter_Step.hpp.

const std::string MoochoPack::EvalNewPoint_name = "EvalNewPoint"

Definition at line 54 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::ReducedGradient_name = "ReducedGradient"

Definition at line 55 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::ReducedHessian_name = "ReducedHessian"

Definition at line 56 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::QuasiNormalStep_name = "QuasiNormalStep"

Definition at line 57 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::TangentialStep_name = "TangentialStep"

Definition at line 58 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::SearchDirec_name = "SearchDirec"

Definition at line 59 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::LineSearch_name = "LineSearch"

Definition at line 60 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::CheckConvergence_name = "CheckConvergence"

Definition at line 61 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::CalcLambdaIndep_name = "CalcLambdaIndep"

Definition at line 63 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::CalcReducedGradLagrangian_name = "CalcReducedGradLagrangian"

Definition at line 64 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::CheckSkipBFGSUpdate_name = "CheckSkipBFGSUpdate"

Definition at line 65 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::CalcDFromYPYZPZ_name = "CalcDFromYPYZPZ"

Definition at line 66 of file MoochoPack_MoochoAlgorithmStepNames.hpp.

const std::string MoochoPack::qp_solver_stats_name = "qp_solver_stats"

Name given to the active set statistics iteration quantity.

Definition at line 45 of file MoochoPack_qp_solver_stats.cpp.

const std::string MoochoPack::quasi_newton_stats_name = "quasi_newton_stats"

Name given to the quasi-Newton updating staistics iteration quantity.

Definition at line 45 of file MoochoPack_quasi_newton_stats.cpp.

const char MoochoPack::UpdateReducedSigma_opt_grp_name[] = "UpdateReducedSigma"

Definition at line 122 of file MoochoPack_UpdateReducedSigma_Step.hpp.