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ROL
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Provides the interface to apply upper and lower bound constraints. More...
#include <ROL_BoundConstraint.hpp>
Inheritance diagram for ROL::BoundConstraint< Real >:Classes | |
| class | LogicalOr |
| class | Product |
| class | Shift |
Public Member Functions | |
| virtual | ~BoundConstraint () |
| BoundConstraint (void) | |
| BoundConstraint (const Teuchos::RCP< Vector< Real > > &x_lo, const Teuchos::RCP< Vector< Real > > &x_up, Real scale=1.0) | |
| Default constructor. More... | |
| virtual void | update (const Vector< Real > &x, bool flag=true, int iter=-1) |
| Update bounds. More... | |
| virtual void | project (Vector< Real > &x) |
| Project optimization variables onto the bounds. More... | |
| virtual void | pruneUpperActive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-active set. More... | |
| virtual void | pruneUpperActive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-binding set. More... | |
| virtual void | pruneLowerActive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-active set. More... | |
| virtual void | pruneLowerActive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-binding set. More... | |
| virtual void | setVectorToUpperBound (Vector< Real > &u) |
| Set the input vector to the upper bound. More... | |
| virtual void | setVectorToLowerBound (Vector< Real > &l) |
| Set the input vector to the lower bound. More... | |
| virtual void | pruneActive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the \(\epsilon\)-active set. More... | |
| virtual void | pruneActive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the \(\epsilon\)-binding set. More... | |
| virtual bool | isFeasible (const Vector< Real > &v) |
| Check if the vector, v, is feasible. More... | |
| void | activate (void) |
| Turn on bounds. More... | |
| void | deactivate (void) |
| Turn off bounds. More... | |
| bool | isActivated (void) |
| Check if bounds are on. More... | |
| void | pruneInactive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the \(\epsilon\)-inactive set. More... | |
| void | pruneLowerInactive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| void | pruneUpperInactive (Vector< Real > &v, const Vector< Real > &x, Real eps=0.0) |
| void | pruneInactive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| Set variables to zero if they correspond to the \(\epsilon\)-nonbinding set. More... | |
| void | pruneLowerInactive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| void | pruneUpperInactive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=0.0) |
| void | computeProjectedGradient (Vector< Real > &g, const Vector< Real > &x) |
| Compute projected gradient. More... | |
| void | computeProjectedStep (Vector< Real > &v, const Vector< Real > &x) |
| Compute projected step. More... | |
Private Attributes | |
| int | dim_ |
| Teuchos::RCP< Vector< Real > > | x_lo_ |
| Teuchos::RCP< Vector< Real > > | x_up_ |
| Real | scale_ |
| bool | activated_ |
| Flag that determines whether or not the constraints are being used. More... | |
| Real | min_diff_ |
| Elementwise::ReductionMin< Real > | minimum_ |
| ROL::BoundConstraint::Product | product |
Provides the interface to apply upper and lower bound constraints.
ROL's bound constraint class is to designed to handle point wise bound constraints on optimization variables. That is, let \(\mathcal{X}\) be a Banach space of functions from \(\Xi\) into \(\mathbb{R}\) (for example, \(\Xi\subset\mathbb{R}^d\) for some positive integer \(d\) and \(\mathcal{X}=L^2(\Xi)\) or \(\Xi = \{1,\ldots,n\}\) and \(\mathcal{X}=\mathbb{R}^n\)). For any \(x\in\mathcal{X}\), we consider bounds of the form
\[ a(\xi) \le x(\xi) \le b(\xi) \quad \text{for almost every }\xi\in\Xi. \]
Here, \(a(\xi)\le b(\xi)\) for almost every \(\xi\in\Xi\) and \(a,b\in \mathcal{X}\).
Definition at line 72 of file ROL_BoundConstraint.hpp.
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Definition at line 107 of file ROL_BoundConstraint.hpp.
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Definition at line 109 of file ROL_BoundConstraint.hpp.
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Default constructor.
The default constructor automatically turns the constraints on.
Definition at line 115 of file ROL_BoundConstraint.hpp.
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Update bounds.
The update function allows the user to update the bounds at each new iterations.
| [in] | x | is the optimization variable. |
| [in] | flag | is set to true if control is changed. |
| [in] | iter | is the outer algorithm iterations count. |
Reimplemented in ROL::BoundConstraint_SimOpt< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 138 of file ROL_BoundConstraint.hpp.
Referenced by ROL::AugmentedLagrangianStep< Real >::initialize(), and ROL::AugmentedLagrangianStep< Real >::update().
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Project optimization variables onto the bounds.
This function implements the projection of \(x\) onto the bounds, i.e.,
\[ (P_{[a,b]}(x))(\xi) = \min\{b(\xi),\max\{a(\xi),x(\xi)\}\} \quad \text{for almost every }\xi\in\Xi. \]
| [in,out] | x | is the optimization variable. |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 148 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::Shift::apply(), and ROL::Vector< Real >::applyBinary().
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute(), ROL::TrustRegionStep< Real >::compute(), ROL::LineSearchStep< Real >::compute(), ROL::PrimalDualActiveSetStep< Real >::computeCriticalityMeasure(), ROL::TrustRegionStep< Real >::computeCriticalityMeasure(), ROL::AugmentedLagrangianStep< Real >::computeGradient(), ROL::BoundConstraint< Real >::computeProjectedStep(), ROL::Step< Real >::initialize(), ROL::AugmentedLagrangianStep< Real >::initialize(), ROL::MoreauYosidaPenaltyStep< Real >::initialize(), ROL::PrimalDualActiveSetStep< Real >::initialize(), ROL::TrustRegionStep< Real >::initialize(), ROL::TrustRegionStep< Real >::update(), ROL::LineSearchStep< Real >::update(), ROL::LineSearch< Real >::updateIterate(), and ROL::MoreauYosidaPenaltyStep< Real >::updateState().
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Set variables to zero if they correspond to the upper \(\epsilon\)-active set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{A}^+_\epsilon(x)\). Here, the upper \(\epsilon\)-active set is defined as
\[ \mathcal{A}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon\,\}. \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 174 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::Shift::apply(), ROL::Vector< Real >::applyBinary(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::product.
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute(), ROL::BoundConstraint< Real >::pruneActive(), and ROL::BoundConstraint< Real >::pruneUpperInactive().
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Set variables to zero if they correspond to the upper \(\epsilon\)-binding set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{B}^+_\epsilon(x)\). Here, the upper \(\epsilon\)-binding set is defined as
\[ \mathcal{B}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon,\; g(\xi) < 0 \,\}. \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | g | is the negative search direction. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 211 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::Shift::apply(), ROL::Vector< Real >::applyBinary(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::product.
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Set variables to zero if they correspond to the lower \(\epsilon\)-active set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{A}^-_\epsilon(x)\). Here, the lower \(\epsilon\)-active set is defined as
\[ \mathcal{A}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon\,\}. \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 262 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::Shift::apply(), ROL::Vector< Real >::applyBinary(), and ROL::BoundConstraint< Real >::product.
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute(), ROL::BoundConstraint< Real >::pruneActive(), and ROL::BoundConstraint< Real >::pruneLowerInactive().
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Set variables to zero if they correspond to the lower \(\epsilon\)-binding set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{B}^-_\epsilon(x)\). Here, the lower \(\epsilon\)-binding set is defined as
\[ \mathcal{B}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon,\; g(\xi) > 0 \,\}. \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | g | is the negative search direction. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 300 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::Shift::apply(), ROL::Vector< Real >::applyBinary(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::product.
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Set the input vector to the upper bound.
This function sets the input vector \(u\) to the upper bound \(b\).
| [out] | u | is the vector to be set to the upper bound. |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 345 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::set().
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute().
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Set the input vector to the lower bound.
This function sets the input vector \(l\) to the lower bound \(a\).
| [out] | l | is the vector to be set to the lower bound. |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 354 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::set().
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute().
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Set variables to zero if they correspond to the \(\epsilon\)-active set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{A}_\epsilon(x)\). Here, the \(\epsilon\)-active set is defined as
\[ \mathcal{A}_\epsilon(x) = \mathcal{A}^+_\epsilon(x)\cap\mathcal{A}^-_\epsilon(x). \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::BPOEBoundConstraint< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 369 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::pruneLowerActive(), and ROL::BoundConstraint< Real >::pruneUpperActive().
Referenced by ROL::PrimalDualActiveSetStep< Real >::compute(), ROL::LineSearchStep< Real >::compute(), ROL::BoundConstraint< Real >::computeProjectedGradient(), ROL::BoundConstraint< Real >::pruneInactive(), and ROL::LineSearch< Real >::status().
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Set variables to zero if they correspond to the \(\epsilon\)-binding set.
This function sets \(v(\xi)=0\) if \(\xi\in\mathcal{B}_\epsilon(x)\). Here, the \(\epsilon\)-binding set is defined as
\[ \mathcal{B}^+_\epsilon(x) = \mathcal{B}^+_\epsilon(x)\cap\mathcal{B}^-_\epsilon(x). \]
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | g | is the negative search direction. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::SROMBoundConstraint< Real >, ROL::StdBoundConstraint< Real >, ROL::BPOEBoundConstraint< Real >, and ROL::CVaRBoundConstraint< Real >.
Definition at line 386 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::pruneLowerActive(), and ROL::BoundConstraint< Real >::pruneUpperActive().
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Check if the vector, v, is feasible.
This function returns true if \(v = P_{[a,b]}(v)\).
| [in] | v | is the vector to be checked. |
Reimplemented in H1BoundConstraint< Real >, H1BoundConstraint< Real >, H1BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, L2BoundConstraint< Real >, BoundConstraint_BurgersControl< Real >, ROL::InteriorPointBoundConstraint< Real >, ROL::BoundConstraint_SimOpt< Real >, ROL::BPOEBoundConstraint< Real >, ROL::CVaRBoundConstraint< Real >, ROL::SROMBoundConstraint< Real >, and ROL::StdBoundConstraint< Real >.
Definition at line 396 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::clone().
Referenced by ROL::PrimalDualActiveSetStep< Real >::update().
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Turn on bounds.
This function turns the bounds on.
Definition at line 427 of file ROL_BoundConstraint.hpp.
Referenced by ROL::BoundConstraint_SimOpt< Real >::BoundConstraint_SimOpt().
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Turn off bounds.
This function turns the bounds off.
Definition at line 433 of file ROL_BoundConstraint.hpp.
Referenced by ROL::BoundConstraint_SimOpt< Real >::BoundConstraint_SimOpt(), main(), and ROL::Algorithm< Real >::run().
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Check if bounds are on.
This function returns true if the bounds are turned on.
Definition at line 439 of file ROL_BoundConstraint.hpp.
References ROL::BoundConstraint< Real >::activated_.
Referenced by ROL::AugmentedLagrangianStep< Real >::compute(), ROL::TrustRegionStep< Real >::compute(), ROL::LineSearchStep< Real >::compute(), ROL::TrustRegionStep< Real >::computeCriticalityMeasure(), ROL::AugmentedLagrangianStep< Real >::computeGradient(), ROL::Step< Real >::initialize(), ROL::AugmentedLagrangianStep< Real >::initialize(), ROL::MoreauYosidaPenaltyStep< Real >::initialize(), ROL::TrustRegionStep< Real >::initialize(), ROL::LineSearchStep< Real >::initialize(), ROL::LineSearch< Real >::status(), ROL::TrustRegionStep< Real >::update(), ROL::LineSearchStep< Real >::update(), ROL::LineSearch< Real >::updateIterate(), and ROL::MoreauYosidaPenaltyStep< Real >::updateState().
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Set variables to zero if they correspond to the \(\epsilon\)-inactive set.
This function sets \(v(\xi)=0\) if \(\xi\in\Xi\setminus\mathcal{A}_\epsilon(x)\). Here,
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Definition at line 448 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneActive().
Referenced by ROL::LineSearchStep< Real >::compute(), and ROL::LineSearch< Real >::status().
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Definition at line 454 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneLowerActive().
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Definition at line 460 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneUpperActive().
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Set variables to zero if they correspond to the \(\epsilon\)-nonbinding set.
This function sets \(v(\xi)=0\) if \(\xi\in\Xi\setminus\mathcal{B}_\epsilon(x)\).
| [out] | v | is the variable to be pruned. |
| [in] | x | is the current optimization variable. |
| [in] | g | is the negative search direction. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Definition at line 476 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneActive().
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Definition at line 482 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneLowerActive().
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Definition at line 488 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneUpperActive().
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Compute projected gradient.
This function projects the gradient \(g\) onto the tangent cone.
| [in,out] | g | is the gradient of the objective function at x. |
| [in] | x | is the optimization variable |
Definition at line 501 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::clone(), and ROL::BoundConstraint< Real >::pruneActive().
Referenced by ROL::TrustRegionStep< Real >::computeCriticalityMeasure(), and ROL::LineSearchStep< Real >::update().
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Compute projected step.
This function computes the projected step \(P_{[a,b]}(x+v) - x\).
| [in,out] | v | is the step variable. |
| [in] | x | is the optimization variable. |
Definition at line 513 of file ROL_BoundConstraint.hpp.
References ROL::Vector< Real >::axpy(), ROL::Vector< Real >::plus(), and ROL::BoundConstraint< Real >::project().
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Definition at line 74 of file ROL_BoundConstraint.hpp.
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Definition at line 75 of file ROL_BoundConstraint.hpp.
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Definition at line 76 of file ROL_BoundConstraint.hpp.
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Definition at line 77 of file ROL_BoundConstraint.hpp.
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Flag that determines whether or not the constraints are being used.
Definition at line 78 of file ROL_BoundConstraint.hpp.
Referenced by ROL::BoundConstraint< Real >::isActivated().
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Definition at line 79 of file ROL_BoundConstraint.hpp.
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Definition at line 81 of file ROL_BoundConstraint.hpp.
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