Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 123]

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