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ROL
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Provides an interface to run equality constrained optimization algorithms using Augmented Lagrangians. More...
#include <ROL_TypeE_AugmentedLagrangianAlgorithm.hpp>
Public Member Functions | |
| AugmentedLagrangianAlgorithm (ParameterList &list, const Ptr< Secant< Real > > &secant=nullPtr) | |
| virtual void | run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, Constraint< Real > &econ, Vector< Real > &emul, const Vector< Real > &eres, std::ostream &outStream=std::cout) override |
| virtual void | writeHeader (std::ostream &os) const override |
| Print iterate header. | |
| virtual void | writeName (std::ostream &os) const override |
| Print step name. | |
| virtual void | writeOutput (std::ostream &os, const bool print_header=false) const override |
| Print iterate status. | |
| Public Member Functions inherited from ROL::ROL::TypeE::Algorithm< Real > | |
| virtual | ~Algorithm () |
| Algorithm () | |
| Constructor, given a step and a status test. | |
| void | setStatusTest (const Ptr< StatusTest< Real > > &status, bool combineStatus=false) |
| virtual void | run (Problem< Real > &problem, std::ostream &outStream=std::cout) |
| Run algorithm on equality constrained problems (Type-E). This is the primary Type-E interface. | |
| virtual void | run (Vector< Real > &x, Objective< Real > &obj, Constraint< Real > &econ, Vector< Real > &emul, std::ostream &outStream=std::cout) |
| Run algorithm on equality constrained problems (Type-E). This is the primary Type-E interface. | |
| virtual void | run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, Constraint< Real > &econ, Vector< Real > &emul, const Vector< Real > &eres, std::ostream &outStream=std::cout)=0 |
| Run algorithm on equality constrained problems (Type-E). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. | |
| virtual void | run (Vector< Real > &x, Objective< Real > &obj, Constraint< Real > &econ, Vector< Real > &emul, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, std::ostream &outStream=std::cout) |
| Run algorithm on equality constrained problems with explicit linear equality constraints (Type-E). This is the primary Type-E with explicit linear equality constraints interface. | |
| virtual void | run (Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj, Constraint< Real > &econ, Vector< Real > &emul, const Vector< Real > &eres, Constraint< Real > &linear_econ, Vector< Real > &linear_emul, const Vector< Real > &linear_eres, std::ostream &outStream=std::cout) |
| Run algorithm on equality constrained problems with explicit linear equality constraints (Type-E). This general interface supports the use of dual optimization vector spaces, where the user does not define the dual() method. | |
| 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, const Vector< Real > &l, const Vector< Real > &c, AugmentedLagrangianObjective< Real > &alobj, Constraint< Real > &con, std::ostream &outStream=std::cout) |
Private Attributes | |
| const Ptr< Secant< Real > > | secant_ |
| ParameterList | list_ |
| bool | useRelTol_ |
| bool | useDefaultInitPen_ |
| bool | scaleLagrangian_ |
| Real | minPenaltyReciprocal_ |
| Real | minPenaltyLowerBound_ |
| Real | penaltyUpdate_ |
| Real | maxPenaltyParam_ |
| Real | optIncreaseExponent_ |
| Real | optDecreaseExponent_ |
| Real | optToleranceInitial_ |
| Real | optTolerance_ |
| Real | feasIncreaseExponent_ |
| Real | feasDecreaseExponent_ |
| Real | feasToleranceInitial_ |
| Real | feasTolerance_ |
| bool | print_ |
| int | maxit_ |
| int | subproblemIter_ |
| std::string | subStep_ |
| int | HessianApprox_ |
| Real | outerOptTolerance_ |
| Real | outerFeasTolerance_ |
| Real | outerStepTolerance_ |
| bool | useDefaultScaling_ |
| Real | fscale_ |
| Real | cscale_ |
| int | verbosity_ |
| bool | printHeader_ |
Additional Inherited Members | |
| Protected Member Functions inherited from ROL::ROL::TypeE::Algorithm< Real > | |
| void | initialize (const Vector< Real > &x, const Vector< Real > &g, const Vector< Real > &mul, const Vector< Real > &c) |
| Protected Attributes inherited from ROL::ROL::TypeE::Algorithm< Real > | |
| const Ptr< CombinedStatusTest< Real > > | status_ |
| const Ptr< AlgorithmState< Real > > | state_ |
Provides an interface to run equality constrained optimization algorithms using Augmented Lagrangians.
Definition at line 60 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
| ROL::TypeE::AugmentedLagrangianAlgorithm< Real >::AugmentedLagrangianAlgorithm | ( | ParameterList & | list, |
| const Ptr< Secant< Real > > & | secant = nullPtr ) |
References run().
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overridevirtual |
Referenced by AugmentedLagrangianAlgorithm().
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overridevirtual |
Print iterate header.
Reimplemented from ROL::ROL::TypeE::Algorithm< Real >.
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overridevirtual |
Print step name.
Reimplemented from ROL::ROL::TypeE::Algorithm< Real >.
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overridevirtual |
Print iterate status.
Reimplemented from ROL::ROL::TypeE::Algorithm< Real >.
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Definition at line 62 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 63 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 64 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 66 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 67 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 68 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 69 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 70 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 71 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 73 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 74 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 75 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 76 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 78 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 79 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 80 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 81 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 83 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 84 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 85 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 86 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 87 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 88 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 89 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 90 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 92 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 93 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 94 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 96 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.
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Definition at line 97 of file ROL_TypeE_AugmentedLagrangianAlgorithm.hpp.