ROL
Public Member Functions | Private Attributes | List of all members
ROL::ROL::SimConstraint< Real > Class Template Reference

#include <ROL_Constraint_SerialSimOpt.hpp>

+ Inheritance diagram for ROL::ROL::SimConstraint< Real >:

Public Member Functions

 SimConstraint (const Ptr< Constraint_SimOpt< Real >> &con, const Ptr< const Vector< Real >> &z, bool inSolve=false)
 
void update (const Vector< Real > &u, bool flag=true, int iter=-1) override
 Update constraint functions. x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
 
void update (const Vector< Real > &u, UpdateType type, int iter=-1) override
 Update constraint function. More...
 
void value (Vector< Real > &c, const Vector< Real > &u, Real &tol) override
 Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\). More...
 
void applyJacobian (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, Real &tol) override
 Apply the constraint Jacobian at \(x\), \(c'(x) \in L(\mathcal{X}, \mathcal{C})\), to vector \(v\). More...
 
void applyAdjointJacobian (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &u, Real &tol) override
 Apply the adjoint of the the constraint Jacobian at \(x\), \(c'(x)^* \in L(\mathcal{C}^*, \mathcal{X}^*)\), to vector \(v\). More...
 
void applyAdjointHessian (Vector< Real > &ahwv, const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, Real &tol) override
 Apply the derivative of the adjoint of the constraint Jacobian at \(x\) to vector \(u\) in direction \(v\), according to \( v \mapsto c''(x)(v,\cdot)^*u \). More...
 
void applyPreconditioner (Vector< Real > &pv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &g, Real &tol) override
 Apply a constraint preconditioner at \(x\), \(P(x) \in L(\mathcal{C}, \mathcal{C}^*)\), to vector \(v\). Ideally, this preconditioner satisfies the following relationship:

\[ \left[c'(x) \circ R \circ c'(x)^* \circ P(x)\right] v = v \,, \]

where R is the appropriate Riesz map in \(L(\mathcal{X}^*, \mathcal{X})\). It is used by the solveAugmentedSystem method. More...

 
void setParameter (const std::vector< Real > &param) override
 
- Public Member Functions inherited from ROL::Constraint< Real >
virtual ~Constraint (void)
 
 Constraint (void)
 
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 \(v\). More...
 
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

\[ \begin{pmatrix} I & c'(x)^* \\ c'(x) & 0 \end{pmatrix} \begin{pmatrix} v_{1} \\ v_{2} \end{pmatrix} = \begin{pmatrix} b_{1} \\ b_{2} \end{pmatrix} \]

where \(v_{1} \in \mathcal{X}\), \(v_{2} \in \mathcal{C}^*\), \(b_{1} \in \mathcal{X}^*\), \(b_{2} \in \mathcal{C}\), \(I : \mathcal{X} \rightarrow \mathcal{X}^*\) is an identity or Riesz operator, and \(0 : \mathcal{C}^* \rightarrow \mathcal{C}\) is a zero operator. More...

 
void activate (void)
 Turn on constraints. More...
 
void deactivate (void)
 Turn off constraints. More...
 
bool isActivated (void)
 Check if constraints are on. More...
 
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. More...
 
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. More...
 
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. More...
 
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. More...
 
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. More...
 

Private Attributes

const Ptr< Constraint_SimOpt
< Real > > 
con_
 
const Ptr< const Vector< Real > > z_
 
const bool inSolve_
 
Ptr< Vector< Real > > ijv_
 
bool init_
 

Additional Inherited Members

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

Detailed Description

template<typename Real>
class ROL::ROL::SimConstraint< Real >

Definition at line 19 of file ROL_Constraint_SerialSimOpt.hpp.

Constructor & Destructor Documentation

template<typename Real >
ROL::SimConstraint< Real >::SimConstraint ( const Ptr< Constraint_SimOpt< Real >> &  con,
const Ptr< const Vector< Real >> &  z,
bool  inSolve = false 
)

Definition at line 17 of file ROL_Constraint_SerialSimOpt.hpp.

Member Function Documentation

template<typename Real >
void ROL::SimConstraint< Real >::update ( const Vector< Real > &  x,
bool  flag = true,
int  iter = -1 
)
overridevirtual

Update constraint functions. x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count.

Reimplemented from ROL::Constraint< Real >.

Definition at line 22 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::update ( const Vector< Real > &  x,
UpdateType  type,
int  iter = -1 
)
overridevirtual

Update constraint function.

This function updates the constraint function at new iterations.

Parameters
[in]xis the new iterate.
[in]typeis the type of update requested.
[in]iteris the outer algorithm iterations count.

Reimplemented from ROL::Constraint< Real >.

Definition at line 28 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::value ( Vector< Real > &  c,
const Vector< Real > &  x,
Real &  tol 
)
overridevirtual

Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\).

Parameters
[out]cis the result of evaluating the constraint operator at x; a constraint-space vector
[in]xis the constraint argument; an optimization-space vector
[in,out]tolis a tolerance for inexact evaluations; currently unused

On return, \(\mathsf{c} = c(x)\), where \(\mathsf{c} \in \mathcal{C}\), \(\mathsf{x} \in \mathcal{X}\).


Implements ROL::Constraint< Real >.

Definition at line 34 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::applyJacobian ( Vector< Real > &  jv,
const Vector< Real > &  v,
const Vector< Real > &  x,
Real &  tol 
)
overridevirtual

Apply the constraint Jacobian at \(x\), \(c'(x) \in L(\mathcal{X}, \mathcal{C})\), to vector \(v\).

  @param[out]      jv  is the result of applying the constraint Jacobian to @b v at @b x; a constraint-space vector
  @param[in]       v   is an optimization-space vector
  @param[in]       x   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#91, where

\(v \in \mathcal{X}\), \(\mathsf{jv} \in \mathcal{C}\).

The default implementation is a finite-difference approximation.


Reimplemented from ROL::Constraint< Real >.

Definition at line 39 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::applyAdjointJacobian ( Vector< Real > &  ajv,
const Vector< Real > &  v,
const Vector< Real > &  x,
Real &  tol 
)
overridevirtual

Apply the adjoint of the the constraint Jacobian at \(x\), \(c'(x)^* \in L(\mathcal{C}^*, \mathcal{X}^*)\), to vector \(v\).

  @param[out]      ajv is the result of applying the adjoint of the constraint Jacobian to @b v at @b x; a dual optimization-space vector
  @param[in]       v   is a dual constraint-space vector
  @param[in]       x   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#95, where

\(v \in \mathcal{C}^*\), \(\mathsf{ajv} \in \mathcal{X}^*\).

The default implementation is a finite-difference approximation.


Reimplemented from ROL::Constraint< Real >.

Definition at line 44 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::applyAdjointHessian ( Vector< Real > &  ahuv,
const Vector< Real > &  u,
const Vector< Real > &  v,
const Vector< Real > &  x,
Real &  tol 
)
overridevirtual

Apply the derivative of the adjoint of the constraint Jacobian at \(x\) to vector \(u\) in direction \(v\), according to \( v \mapsto c''(x)(v,\cdot)^*u \).

  @param[out]      ahuv is the result of applying the derivative of the adjoint of the constraint Jacobian at @b x to vector @b u in direction @b v; a dual optimization-space vector
  @param[in]       u    is the direction vector; a dual constraint-space vector
  @param[in]       v    is an optimization-space vector
  @param[in]       x    is the constraint argument; an optimization-space vector
  @param[in,out]   tol  is a tolerance for inexact evaluations; currently unused

  On return, \form#100, where

\(u \in \mathcal{C}^*\), \(v \in \mathcal{X}\), and \(\mathsf{ahuv} \in \mathcal{X}^*\).

The default implementation is a finite-difference approximation based on the adjoint Jacobian.


Reimplemented from ROL::Constraint< Real >.

Definition at line 49 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::applyPreconditioner ( Vector< Real > &  pv,
const Vector< Real > &  v,
const Vector< Real > &  x,
const Vector< Real > &  g,
Real &  tol 
)
overridevirtual

Apply a constraint preconditioner at \(x\), \(P(x) \in L(\mathcal{C}, \mathcal{C}^*)\), to vector \(v\). Ideally, this preconditioner satisfies the following relationship:

\[ \left[c'(x) \circ R \circ c'(x)^* \circ P(x)\right] v = v \,, \]

where R is the appropriate Riesz map in \(L(\mathcal{X}^*, \mathcal{X})\). It is used by the solveAugmentedSystem method.

  @param[out]      pv  is the result of applying the constraint preconditioner to @b v at @b x; a dual constraint-space vector
  @param[in]       v   is a constraint-space vector
  @param[in]       x   is the preconditioner argument; an optimization-space vector
  @param[in]       g   is the preconditioner argument; a dual optimization-space vector, unused
  @param[in,out]   tol is a tolerance for inexact evaluations

  On return, \form#114, where

\(v \in \mathcal{C}\), \(\mathsf{pv} \in \mathcal{C}^*\).

The default implementation is the Riesz map in \(L(\mathcal{C}, \mathcal{C}^*)\).


Reimplemented from ROL::Constraint< Real >.

Definition at line 54 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
void ROL::SimConstraint< Real >::setParameter ( const std::vector< Real > &  param)
overridevirtual

Reimplemented from ROL::Constraint< Real >.

Definition at line 64 of file ROL_Constraint_SerialSimOpt.hpp.

Member Data Documentation

template<typename Real >
const Ptr<Constraint_SimOpt<Real> > ROL::ROL::SimConstraint< Real >::con_
private

Definition at line 21 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
const Ptr<const Vector<Real> > ROL::ROL::SimConstraint< Real >::z_
private

Definition at line 22 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
const bool ROL::ROL::SimConstraint< Real >::inSolve_
private

Definition at line 23 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
Ptr<Vector<Real> > ROL::ROL::SimConstraint< Real >::ijv_
private

Definition at line 24 of file ROL_Constraint_SerialSimOpt.hpp.

template<typename Real >
bool ROL::ROL::SimConstraint< Real >::init_
private

Definition at line 25 of file ROL_Constraint_SerialSimOpt.hpp.


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