ROL
ROL::StochasticConstraint< Real > Class Template Reference

#include <ROL_StochasticConstraint.hpp>

Inheritance diagram for ROL::StochasticConstraint< Real >:

Public Member Functions

 StochasticConstraint (const Ptr< Objective< Real > > &obj, const Ptr< SampleGenerator< Real > > &sampler, ParameterList &parlist, const int index=0)
 StochasticConstraint (const Ptr< Constraint< Real > > &con, const Ptr< SampleGenerator< Real > > &sampler, ParameterList &parlist, const int index=0)
Real computeStatistic (const Vector< Real > &x) const
void setIndex (int ind)
void update (const Vector< Real > &x, UpdateType type, int iter=-1)
void update (const Vector< Real > &x, bool flag=true, int iter=-1)
void value (Vector< Real > &c, const Vector< Real > &x, Real &tol)
void applyJacobian (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
void applyAdjointJacobian (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
void applyAdjointHessian (Vector< Real > &ahuv, const Vector< Real > &u, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
Public Member Functions inherited from ROL::ROL::Constraint< Real >
virtual ~Constraint (void)
 Constraint (void)
virtual void update (const Vector< Real > &x, UpdateType type, int iter=-1)
 Update constraint function.
virtual void update (const Vector< Real > &x, bool flag=true, int iter=-1)
 Update constraint functions.
x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count.
virtual void value (Vector< Real > &c, const Vector< Real > &x, Real &tol)=0
 Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\).
virtual void applyJacobian (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
 Apply the constraint Jacobian at \(x\), \(c'(x) \in L(\mathcal{X}, \mathcal{C})\), to vector \(v\).
virtual void applyAdjointJacobian (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
 Apply the adjoint of the the constraint Jacobian at \(x\), \(c'(x)^* \in L(\mathcal{C}^*, \mathcal{X}^*)\), to vector \(v\).
virtual void applyAdjointJacobian (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &x, const Vector< Real > &dualv, Real &tol)
 Apply the adjoint of the the constraint Jacobian at \(x\), \(c'(x)^* \in L(\mathcal{C}^*, \mathcal{X}^*)\), to vector \(v\).
virtual void applyAdjointHessian (Vector< Real > &ahuv, const Vector< Real > &u, const Vector< Real > &v, const Vector< Real > &x, Real &tol)
 Apply the derivative of the adjoint of the constraint Jacobian at \(x\) to vector \(u\) in direction \(v\), according to \( v \mapsto c''(x)(v,\cdot)^*u \).
virtual std::vector< Real > solveAugmentedSystem (Vector< Real > &v1, Vector< Real > &v2, const Vector< Real > &b1, const Vector< Real > &b2, const Vector< Real > &x, Real &tol)
 Approximately solves the augmented system .
virtual void applyPreconditioner (Vector< Real > &pv, const Vector< Real > &v, const Vector< Real > &x, const Vector< Real > &g, Real &tol)
 Apply a constraint preconditioner at \(x\), \(P(x) \in L(\mathcal{C}, \mathcal{C}^*)\), to vector \(v\). Ideally, this preconditioner satisfies the following relationship:
void activate (void)
 Turn on constraints.
void deactivate (void)
 Turn off constraints.
bool isActivated (void)
 Check if constraints are on.
virtual std::vector< std::vector< Real > > checkApplyJacobian (const Vector< Real > &x, const Vector< Real > &v, const Vector< Real > &jv, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
 Finite-difference check for the constraint Jacobian application.
virtual std::vector< std::vector< Real > > checkApplyJacobian (const Vector< Real > &x, const Vector< Real > &v, const Vector< Real > &jv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 Finite-difference check for the constraint Jacobian application.
virtual std::vector< std::vector< Real > > checkApplyAdjointJacobian (const Vector< Real > &x, const Vector< Real > &v, const Vector< Real > &c, const Vector< Real > &ajv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS)
 Finite-difference check for the application of the adjoint of constraint Jacobian.
virtual Real checkAdjointConsistencyJacobian (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &x, const bool printToStream=true, std::ostream &outStream=std::cout)
virtual Real checkAdjointConsistencyJacobian (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &x, const Vector< Real > &dualw, const Vector< Real > &dualv, const bool printToStream=true, std::ostream &outStream=std::cout)
virtual std::vector< std::vector< Real > > checkApplyAdjointHessian (const Vector< Real > &x, const Vector< Real > &u, const Vector< Real > &v, const Vector< Real > &hv, const std::vector< Real > &step, const bool printToScreen=true, std::ostream &outStream=std::cout, const int order=1)
 Finite-difference check for the application of the adjoint of constraint Hessian.
virtual std::vector< std::vector< Real > > checkApplyAdjointHessian (const Vector< Real > &x, const Vector< Real > &u, const Vector< Real > &v, const Vector< Real > &hv, const bool printToScreen=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 Finite-difference check for the application of the adjoint of constraint Hessian.
virtual void setParameter (const std::vector< Real > &param)

Private Attributes

Ptr< StochasticObjective< Real > > robj_
Ptr< Constraint< Real > > con_
Ptr< SampleGenerator< Real > > sampler_

Additional Inherited Members

Protected Member Functions inherited from ROL::ROL::Constraint< Real >
const std::vector< Real > getParameter (void) const

Detailed Description

template<class Real>
class ROL::StochasticConstraint< Real >

Definition at line 20 of file ROL_StochasticConstraint.hpp.

Constructor & Destructor Documentation

◆ StochasticConstraint() [1/2]

template<class Real>
ROL::StochasticConstraint< Real >::StochasticConstraint ( const Ptr< Objective< Real > > & obj,
const Ptr< SampleGenerator< Real > > & sampler,
ParameterList & parlist,
const int index = 0 )
inline

Definition at line 27 of file ROL_StochasticConstraint.hpp.

References con_, robj_, and sampler_.

◆ StochasticConstraint() [2/2]

template<class Real>
ROL::StochasticConstraint< Real >::StochasticConstraint ( const Ptr< Constraint< Real > > & con,
const Ptr< SampleGenerator< Real > > & sampler,
ParameterList & parlist,
const int index = 0 )
inline

Member Function Documentation

◆ computeStatistic()

template<class Real>
Real ROL::StochasticConstraint< Real >::computeStatistic ( const Vector< Real > & x) const
inline

Definition at line 53 of file ROL_StochasticConstraint.hpp.

References robj_.

◆ setIndex()

template<class Real>
void ROL::StochasticConstraint< Real >::setIndex ( int ind)
inline

Definition at line 57 of file ROL_StochasticConstraint.hpp.

References robj_.

◆ update() [1/2]

template<class Real>
void ROL::StochasticConstraint< Real >::update ( const Vector< Real > & x,
UpdateType type,
int iter = -1 )
inline

Definition at line 61 of file ROL_StochasticConstraint.hpp.

References con_.

◆ update() [2/2]

template<class Real>
void ROL::StochasticConstraint< Real >::update ( const Vector< Real > & x,
bool flag = true,
int iter = -1 )
inline

Definition at line 65 of file ROL_StochasticConstraint.hpp.

References con_.

◆ value()

template<class Real>
void ROL::StochasticConstraint< Real >::value ( Vector< Real > & c,
const Vector< Real > & x,
Real & tol )
inline

Definition at line 69 of file ROL_StochasticConstraint.hpp.

References con_.

◆ applyJacobian()

template<class Real>
void ROL::StochasticConstraint< Real >::applyJacobian ( Vector< Real > & jv,
const Vector< Real > & v,
const Vector< Real > & x,
Real & tol )
inline

Definition at line 73 of file ROL_StochasticConstraint.hpp.

References con_.

◆ applyAdjointJacobian()

template<class Real>
void ROL::StochasticConstraint< Real >::applyAdjointJacobian ( Vector< Real > & ajv,
const Vector< Real > & v,
const Vector< Real > & x,
Real & tol )
inline

Definition at line 77 of file ROL_StochasticConstraint.hpp.

References con_.

◆ applyAdjointHessian()

template<class Real>
void ROL::StochasticConstraint< Real >::applyAdjointHessian ( Vector< Real > & ahuv,
const Vector< Real > & u,
const Vector< Real > & v,
const Vector< Real > & x,
Real & tol )
inline

Definition at line 81 of file ROL_StochasticConstraint.hpp.

References con_.

Member Data Documentation

◆ robj_

template<class Real>
Ptr<StochasticObjective<Real> > ROL::StochasticConstraint< Real >::robj_
private

◆ con_

◆ sampler_

template<class Real>
Ptr<SampleGenerator<Real> > ROL::StochasticConstraint< Real >::sampler_
private

Definition at line 24 of file ROL_StochasticConstraint.hpp.

Referenced by StochasticConstraint(), and StochasticConstraint().


The documentation for this class was generated from the following file: