#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... | |
| Public Member Functions inherited from ROL::BoundConstraint< Real > | |
| 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... | |
| 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 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) |
Private Attributes | |
| int | dim_ |
| std::vector< Real > | x_lo_ |
| std::vector< Real > | x_up_ |
| Real | min_diff_ |
| Real | scale_ |
| Teuchos::RCP< BurgersFEM< Real > > | fem_ |
Detailed Description
template<class Real>
class L2BoundConstraint< Real >
Definition at line 1203 of file example_04.hpp.
Constructor & Destructor Documentation
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Definition at line 1251 of file example_04.hpp.
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Definition at line 1314 of file example_06.hpp.
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Definition at line 1330 of file example_07.hpp.
Member Function Documentation
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Definition at line 1212 of file example_04.hpp.
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Definition at line 1224 of file example_04.hpp.
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inlineprivate |
Definition at line 1236 of file example_04.hpp.
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Definition at line 1244 of file example_04.hpp.
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Check if the vector, v, is feasible.
This function returns true if \(v = P_{[a,b]}(v)\).
- Parameters
-
[in] v is the vector to be checked.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1266 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.,
\[ (P_{[a,b]}(x))(\xi) = \min\{b(\xi),\max\{a(\xi),x(\xi)\}\} \quad \text{for almost every }\xi\in\Xi. \]
- Parameters
-
[in,out] x is the optimization variable.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1278 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
\[ \mathcal{A}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon\,\}. \]
- Parameters
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[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 1283 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
\[ \mathcal{A}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon\,\}. \]
- Parameters
-
[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 1294 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
\[ \mathcal{A}_\epsilon(x) = \mathcal{A}^+_\epsilon(x)\cap\mathcal{A}^-_\epsilon(x). \]
- Parameters
-
[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 1305 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
\[ \mathcal{B}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon,\; g(\xi) > 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1317 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
\[ \mathcal{B}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon,\; g(\xi) < 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1329 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
\[ \mathcal{B}^+_\epsilon(x) = \mathcal{B}^+_\epsilon(x)\cap\mathcal{B}^-_\epsilon(x). \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1341 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 \(b\).
- Parameters
-
[out] u is the vector to be set to the upper bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1354 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 \(a\).
- Parameters
-
[out] l is the vector to be set to the lower bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1361 of file example_04.hpp.
References ROL::Vector< Real >::set().
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Definition at line 1275 of file example_06.hpp.
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inlineprivate |
Definition at line 1287 of file example_06.hpp.
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Definition at line 1299 of file example_06.hpp.
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Definition at line 1307 of file example_06.hpp.
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Check if the vector, v, is feasible.
This function returns true if \(v = P_{[a,b]}(v)\).
- Parameters
-
[in] v is the vector to be checked.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1329 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.,
\[ (P_{[a,b]}(x))(\xi) = \min\{b(\xi),\max\{a(\xi),x(\xi)\}\} \quad \text{for almost every }\xi\in\Xi. \]
- Parameters
-
[in,out] x is the optimization variable.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1341 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
\[ \mathcal{A}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon\,\}. \]
- Parameters
-
[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 1346 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
\[ \mathcal{A}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon\,\}. \]
- Parameters
-
[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 1357 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
\[ \mathcal{A}_\epsilon(x) = \mathcal{A}^+_\epsilon(x)\cap\mathcal{A}^-_\epsilon(x). \]
- Parameters
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[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 1368 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
\[ \mathcal{B}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon,\; g(\xi) > 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1380 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
\[ \mathcal{B}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon,\; g(\xi) < 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1392 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
\[ \mathcal{B}^+_\epsilon(x) = \mathcal{B}^+_\epsilon(x)\cap\mathcal{B}^-_\epsilon(x). \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1404 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 \(b\).
- Parameters
-
[out] u is the vector to be set to the upper bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1417 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 \(a\).
- Parameters
-
[out] l is the vector to be set to the lower bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1424 of file example_06.hpp.
References ROL::Vector< Real >::set().
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Definition at line 1291 of file example_07.hpp.
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Definition at line 1303 of file example_07.hpp.
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Definition at line 1315 of file example_07.hpp.
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Definition at line 1323 of file example_07.hpp.
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Check if the vector, v, is feasible.
This function returns true if \(v = P_{[a,b]}(v)\).
- Parameters
-
[in] v is the vector to be checked.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1345 of file example_07.hpp.
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Project optimization variables onto the bounds.
This function implements the projection of \(x\) onto the bounds, i.e.,
\[ (P_{[a,b]}(x))(\xi) = \min\{b(\xi),\max\{a(\xi),x(\xi)\}\} \quad \text{for almost every }\xi\in\Xi. \]
- Parameters
-
[in,out] x is the optimization variable.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1357 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
\[ \mathcal{A}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon\,\}. \]
- Parameters
-
[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 1362 of file example_07.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
\[ \mathcal{A}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon\,\}. \]
- Parameters
-
[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 1373 of file example_07.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
\[ \mathcal{A}_\epsilon(x) = \mathcal{A}^+_\epsilon(x)\cap\mathcal{A}^-_\epsilon(x). \]
- Parameters
-
[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 1384 of file example_07.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
\[ \mathcal{B}^-_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = a(\xi)+\epsilon,\; g(\xi) > 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1396 of file example_07.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
\[ \mathcal{B}^+_\epsilon(x) = \{\,\xi\in\Xi\,:\,x(\xi) = b(\xi)-\epsilon,\; g(\xi) < 0 \,\}. \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1408 of file example_07.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
\[ \mathcal{B}^+_\epsilon(x) = \mathcal{B}^+_\epsilon(x)\cap\mathcal{B}^-_\epsilon(x). \]
- Parameters
-
[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 from ROL::BoundConstraint< Real >.
Definition at line 1420 of file example_07.hpp.
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Set the input vector to the upper bound.
This function sets the input vector \(u\) to the upper bound \(b\).
- Parameters
-
[out] u is the vector to be set to the upper bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1433 of file example_07.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 \(a\).
- Parameters
-
[out] l is the vector to be set to the lower bound.
Reimplemented from ROL::BoundConstraint< Real >.
Definition at line 1440 of file example_07.hpp.
References ROL::Vector< Real >::set().
Member Data Documentation
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Definition at line 1205 of file example_04.hpp.
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Definition at line 1206 of file example_04.hpp.
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Definition at line 1207 of file example_04.hpp.
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Definition at line 1208 of file example_04.hpp.
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Definition at line 1209 of file example_04.hpp.
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Definition at line 1210 of file example_04.hpp.
The documentation for this class was generated from the following files:
