ROL
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Provides the interface to evaluate the quadratic quasi-Newton objective. More...
#include <ROL_PQNObjective.hpp>
Public Member Functions | |
PQNObjective (const Ptr< Secant< Real >> &secant, const Vector< Real > &x, const Vector< Real > &g) | |
Real | value (const Vector< Real > &x, Real &tol) override |
Compute value. More... | |
void | gradient (Vector< Real > &g, const Vector< Real > &x, Real &tol) override |
Compute gradient. More... | |
void | hessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) override |
Apply Hessian approximation to vector. More... | |
void | setAnchor (const Vector< Real > &x, const Vector< Real > &g) |
Public Member Functions inherited from ROL::Objective< Real > | |
virtual | ~Objective () |
Objective () | |
virtual void | update (const Vector< Real > &x, UpdateType type, int iter=-1) |
Update objective function. More... | |
virtual void | update (const Vector< Real > &x, bool flag=true, int iter=-1) |
Update objective function. More... | |
virtual Real | dirDeriv (const Vector< Real > &x, const Vector< Real > &d, Real &tol) |
Compute directional derivative. More... | |
virtual void | invHessVec (Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) |
Apply inverse Hessian approximation to vector. More... | |
virtual void | precond (Vector< Real > &Pv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) |
Apply preconditioner to vector. More... | |
virtual void | prox (Vector< Real > &Pv, const Vector< Real > &v, Real t, Real &tol) |
virtual std::vector < std::vector< Real > > | checkGradient (const Vector< Real > &x, const Vector< Real > &d, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1) |
Finite-difference gradient check. More... | |
virtual std::vector < std::vector< Real > > | checkGradient (const Vector< Real > &x, const Vector< Real > &g, const Vector< Real > &d, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1) |
Finite-difference gradient check. More... | |
virtual std::vector < std::vector< Real > > | checkGradient (const Vector< Real > &x, const Vector< Real > &d, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1) |
Finite-difference gradient check with specified step sizes. More... | |
virtual std::vector < std::vector< Real > > | checkGradient (const Vector< Real > &x, const Vector< Real > &g, const Vector< Real > &d, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1) |
Finite-difference gradient check with specified step sizes. More... | |
virtual std::vector < std::vector< Real > > | checkHessVec (const Vector< Real > &x, const Vector< Real > &v, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1) |
Finite-difference Hessian-applied-to-vector check. More... | |
virtual std::vector < std::vector< Real > > | checkHessVec (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1) |
Finite-difference Hessian-applied-to-vector check. More... | |
virtual std::vector < std::vector< Real > > | checkHessVec (const Vector< Real > &x, const Vector< Real > &v, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1) |
Finite-difference Hessian-applied-to-vector check with specified step sizes. More... | |
virtual std::vector < std::vector< Real > > | checkHessVec (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1) |
Finite-difference Hessian-applied-to-vector check with specified step sizes. More... | |
virtual std::vector< Real > | checkHessSym (const Vector< Real > &x, const Vector< Real > &v, const Vector< Real > &w, const bool printToStream=true, std::ostream &outStream=std::cout) |
Hessian symmetry check. More... | |
virtual std::vector< Real > | checkHessSym (const Vector< Real > &x, const Vector< Real > &hv, const Vector< Real > &v, const Vector< Real > &w, const bool printToStream=true, std::ostream &outStream=std::cout) |
Hessian symmetry check. More... | |
virtual void | setParameter (const std::vector< Real > ¶m) |
Private Attributes | |
const Ptr< Secant< Real > > | secant_ |
const Ptr< Vector< Real > > | x_ |
const Ptr< Vector< Real > > | g_ |
const Ptr< Vector< Real > > | pwa_ |
const Ptr< Vector< Real > > | dwa_ |
Additional Inherited Members | |
Protected Member Functions inherited from ROL::Objective< Real > | |
const std::vector< Real > | getParameter (void) const |
Provides the interface to evaluate the quadratic quasi-Newton objective.
This class implements the PQN quasi-Newton objective for use with ROL::TypeB::QuasiNewtonAlgorithm. Given a function \(f:\mathcal{X}\to\mathbb{R}\) and a Hessian approximation \(B_k:\mathcal{X}}\to\mathcal{X}^*\), the functional is
\[ q_k(x) = \frac{1}{2}\langle B_k (x-x_k),(x-x_k)\rangle_{\mathcal{X}^*,\mathcal{X}} + \langle f'(x_k), (x-x_k)\rangle_{\mathcal{X}^*,\mathcal{X}}. \]
Definition at line 36 of file ROL_PQNObjective.hpp.
ROL::PQNObjective< Real >::PQNObjective | ( | const Ptr< Secant< Real >> & | secant, |
const Vector< Real > & | x, | ||
const Vector< Real > & | g | ||
) |
Definition at line 17 of file ROL_PQNObjective_Def.hpp.
References ROL::PQNObjective< Real >::setAnchor().
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overridevirtual |
Compute value.
This function returns the objective function value.
[in] | x | is the current iterate. |
[in] | tol | is a tolerance for inexact objective function computation. |
Implements ROL::Objective< Real >.
Definition at line 25 of file ROL_PQNObjective_Def.hpp.
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overridevirtual |
Compute gradient.
This function returns the objective function gradient.
[out] | g | is the gradient. |
[in] | x | is the current iterate. |
[in] | tol | is a tolerance for inexact objective function computation. |
The default implementation is a finite-difference approximation based on the function value. This requires the definition of a basis \(\{\phi_i\}\) for the optimization vectors x and the definition of a basis \(\{\psi_j\}\) for the dual optimization vectors (gradient vectors g). The bases must be related through the Riesz map, i.e., \( R \{\phi_i\} = \{\psi_j\}\), and this must be reflected in the implementation of the ROL::Vector::dual() method.
Reimplemented from ROL::Objective< Real >.
Definition at line 35 of file ROL_PQNObjective_Def.hpp.
References ROL::Vector< Real >::plus().
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overridevirtual |
Apply Hessian approximation to vector.
This function applies the Hessian of the objective function to the vector \(v\).
[out] | hv | is the the action of the Hessian on \(v\). |
[in] | v | is the direction vector. |
[in] | x | is the current iterate. |
[in] | tol | is a tolerance for inexact objective function computation. |
Reimplemented from ROL::Objective< Real >.
Definition at line 43 of file ROL_PQNObjective_Def.hpp.
void ROL::PQNObjective< Real >::setAnchor | ( | const Vector< Real > & | x, |
const Vector< Real > & | g | ||
) |
Definition at line 48 of file ROL_PQNObjective_Def.hpp.
Referenced by ROL::PQNObjective< Real >::PQNObjective().
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Definition at line 38 of file ROL_PQNObjective.hpp.
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Definition at line 39 of file ROL_PQNObjective.hpp.
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Definition at line 39 of file ROL_PQNObjective.hpp.
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private |
Definition at line 39 of file ROL_PQNObjective.hpp.
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private |
Definition at line 39 of file ROL_PQNObjective.hpp.