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ROL
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#include <example_04.hpp>
Inheritance diagram for L2BoundConstraint< Real >:Public Member Functions | |
| L2BoundConstraint (std::vector< Real > &l, std::vector< Real > &u, const Teuchos::RCP< BurgersFEM< Real > > &fem, Real scale=1.0) | |
| bool | isFeasible (const ROL::Vector< Real > &x) |
| Check if the vector, v, is feasible. More... | |
| void | project (ROL::Vector< Real > &x) |
| Project optimization variables onto the bounds. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-active set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-active set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-active set. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-binding set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-binding set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-binding set. More... | |
| void | setVectorToUpperBound (ROL::Vector< Real > &u) |
| Set the input vector to the upper bound. More... | |
| void | setVectorToLowerBound (ROL::Vector< Real > &l) |
| Set the input vector to the lower bound. More... | |
| L2BoundConstraint (std::vector< Real > &l, std::vector< Real > &u, const Teuchos::RCP< BurgersFEM< Real > > &fem, Real scale=1.0) | |
| bool | isFeasible (const ROL::Vector< Real > &x) |
| Check if the vector, v, is feasible. More... | |
| void | project (ROL::Vector< Real > &x) |
| Project optimization variables onto the bounds. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-active set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-active set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-active set. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-binding set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-binding set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-binding set. More... | |
| void | setVectorToUpperBound (ROL::Vector< Real > &u) |
| Set the input vector to the upper bound. More... | |
| void | setVectorToLowerBound (ROL::Vector< Real > &l) |
| Set the input vector to the lower bound. More... | |
| L2BoundConstraint (std::vector< Real > &l, std::vector< Real > &u, const Teuchos::RCP< BurgersFEM< Real > > &fem, Real scale=1.0) | |
| bool | isFeasible (const ROL::Vector< Real > &x) |
| Check if the vector, v, is feasible. More... | |
| void | project (ROL::Vector< Real > &x) |
| Project optimization variables onto the bounds. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-active set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-active set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-active set. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-binding set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-binding set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-binding set. More... | |
| void | setVectorToUpperBound (ROL::Vector< Real > &u) |
| Set the input vector to the upper bound. More... | |
| void | setVectorToLowerBound (ROL::Vector< Real > &l) |
| Set the input vector to the lower bound. More... | |
| L2BoundConstraint (std::vector< Real > &l, std::vector< Real > &u, const Teuchos::RCP< BurgersFEM< Real > > &fem, Real scale=1.0) | |
| bool | isFeasible (const ROL::Vector< Real > &x) |
| Check if the vector, v, is feasible. More... | |
| void | project (ROL::Vector< Real > &x) |
| Project optimization variables onto the bounds. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-active set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-active set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-active set. More... | |
| void | pruneLowerActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the lower \(\epsilon\)-binding set. More... | |
| void | pruneUpperActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the upper \(\epsilon\)-binding set. More... | |
| void | pruneActive (ROL::Vector< Real > &v, const ROL::Vector< Real > &g, const ROL::Vector< Real > &x, Real eps) |
| Set variables to zero if they correspond to the \(\epsilon\)-binding set. More... | |
| void | setVectorToUpperBound (ROL::Vector< Real > &u) |
| Set the input vector to the upper bound. More... | |
| void | setVectorToLowerBound (ROL::Vector< Real > &l) |
| Set the input vector to the lower bound. More... | |
Public Member Functions inherited from ROL::BoundConstraint< Real > | |
| virtual | ~BoundConstraint () |
| BoundConstraint (void) | |
| BoundConstraint (const Vector< Real > &x) | |
| BoundConstraint (const Teuchos::RCP< Vector< Real > > &x_lo, const Teuchos::RCP< Vector< Real > > &x_up, const Real scale=1) | |
| Default constructor. More... | |
| virtual void | update (const Vector< Real > &x, bool flag=true, int iter=-1) |
| Update bounds. More... | |
| virtual const Teuchos::RCP< const Vector< Real > > | getLowerVectorRCP (void) const |
| Return the ref count pointer to the lower bound vector. More... | |
| virtual const Teuchos::RCP< const Vector< Real > > | getUpperVectorRCP (void) const |
| Return the ref count pointer to the upper bound vector. More... | |
| virtual const Teuchos::RCP< Vector< Real > > | getLowerVectorRCP (void) |
| Return the ref count pointer to the lower bound vector. More... | |
| virtual const Teuchos::RCP< Vector< Real > > | getUpperVectorRCP (void) |
| Return the ref count pointer to the upper bound vector. 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) |
| 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) |
| void | pruneUpperInactive (Vector< Real > &v, const Vector< Real > &x, Real eps=0) |
| void | pruneInactive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=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) |
| void | pruneUpperInactive (Vector< Real > &v, const Vector< Real > &g, const Vector< Real > &x, Real eps=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 Member Functions | |
| void | cast_vector (Teuchos::RCP< std::vector< Real > > &xvec, ROL::Vector< Real > &x) const |
| void | cast_const_vector (Teuchos::RCP< const std::vector< Real > > &xvec, const ROL::Vector< Real > &x) const |
| void | axpy (std::vector< Real > &out, const Real a, const std::vector< Real > &x, const std::vector< Real > &y) const |
| void | projection (std::vector< Real > &x) |
| void | cast_vector (Teuchos::RCP< std::vector< Real > > &xvec, ROL::Vector< Real > &x) const |
| void | cast_const_vector (Teuchos::RCP< const std::vector< Real > > &xvec, const ROL::Vector< Real > &x) const |
| void | axpy (std::vector< Real > &out, const Real a, const std::vector< Real > &x, const std::vector< Real > &y) const |
| void | projection (std::vector< Real > &x) |
| void | cast_vector (Teuchos::RCP< std::vector< Real > > &xvec, ROL::Vector< Real > &x) const |
| void | cast_const_vector (Teuchos::RCP< const std::vector< Real > > &xvec, const ROL::Vector< Real > &x) const |
| void | axpy (std::vector< Real > &out, const Real a, const std::vector< Real > &x, const std::vector< Real > &y) const |
| void | projection (std::vector< Real > &x) |
| void | cast_vector (Teuchos::RCP< std::vector< Real > > &xvec, ROL::Vector< Real > &x) const |
| void | cast_const_vector (Teuchos::RCP< const std::vector< Real > > &xvec, const ROL::Vector< Real > &x) const |
| void | axpy (std::vector< Real > &out, const Real a, const std::vector< Real > &x, const std::vector< Real > &y) const |
| void | projection (std::vector< Real > &x) |
Private Attributes | |
| int | dim_ |
| std::vector< Real > | x_lo_ |
| std::vector< Real > | x_up_ |
| Real | min_diff_ |
| Real | scale_ |
| Teuchos::RCP< BurgersFEM< Real > > | fem_ |
Definition at line 1149 of file example_04.hpp.
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inline |
Definition at line 1197 of file example_04.hpp.
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Definition at line 1256 of file example_06.hpp.
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Definition at line 1274 of file example_07.hpp.
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inline |
Definition at line 1256 of file example_08.hpp.
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inlineprivate |
Definition at line 1158 of file example_04.hpp.
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inlineprivate |
Definition at line 1170 of file example_04.hpp.
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inlineprivate |
Definition at line 1182 of file example_04.hpp.
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inlineprivate |
Definition at line 1190 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1212 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1224 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1229 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1240 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1251 of file example_04.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1263 of file example_04.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1275 of file example_04.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1287 of file example_04.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1300 of file example_04.hpp.
References ROL::Vector< Real >::set().
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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 from ROL::BoundConstraint< Real >.
Definition at line 1307 of file example_04.hpp.
References ROL::Vector< Real >::set().
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Definition at line 1217 of file example_06.hpp.
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Definition at line 1229 of file example_06.hpp.
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Definition at line 1241 of file example_06.hpp.
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Definition at line 1249 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1271 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1283 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1288 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1299 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1310 of file example_06.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1322 of file example_06.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1334 of file example_06.hpp.
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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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1346 of file example_06.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1359 of file example_06.hpp.
References ROL::Vector< Real >::set().
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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 from ROL::BoundConstraint< Real >.
Definition at line 1366 of file example_06.hpp.
References ROL::Vector< Real >::set().
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Definition at line 1235 of file example_07.hpp.
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inlineprivate |
Definition at line 1247 of file example_07.hpp.
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Definition at line 1259 of file example_07.hpp.
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Definition at line 1267 of file example_07.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1289 of file example_07.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1301 of file example_07.hpp.
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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 from ROL::BoundConstraint< Real >.
Definition at line 1306 of file example_07.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1317 of file example_07.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1328 of file example_07.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1340 of file example_07.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1352 of file example_07.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1364 of file example_07.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1377 of file example_07.hpp.
References ROL::Vector< Real >::set().
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1384 of file example_07.hpp.
References ROL::Vector< Real >::set().
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inlineprivate |
Definition at line 1217 of file example_08.hpp.
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inlineprivate |
Definition at line 1229 of file example_08.hpp.
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inlineprivate |
Definition at line 1241 of file example_08.hpp.
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inlineprivate |
Definition at line 1249 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1271 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1283 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1288 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1299 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1310 of file example_08.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1322 of file example_08.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1334 of file example_08.hpp.
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inlinevirtual |
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] | g | is the negative search direction. |
| [in] | x | is the current optimization variable. |
| [in] | eps | is the active-set tolerance \(\epsilon\). |
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1346 of file example_08.hpp.
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1359 of file example_08.hpp.
References ROL::Vector< Real >::set().
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inlinevirtual |
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 from ROL::BoundConstraint< Real >.
Definition at line 1366 of file example_08.hpp.
References ROL::Vector< Real >::set().
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private |
Definition at line 1151 of file example_04.hpp.
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private |
Definition at line 1152 of file example_04.hpp.
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private |
Definition at line 1153 of file example_04.hpp.
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private |
Definition at line 1154 of file example_04.hpp.
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private |
Definition at line 1155 of file example_04.hpp.
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private |
Definition at line 1156 of file example_04.hpp.
1.8.13