ROL
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ROL::SerialConstraint< Real > Class Template Reference

Evaluates ROL::DynamicConstraint over a sequential set of time intervals. More...

#include <ROL_SerialConstraint.hpp>

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

Public Types

using size_type = typename std::vector< Real >::size_type
 
- Public Types inherited from ROL::SerialFunction< Real >
using size_type = typename std::vector< Real >::size_type
 

Public Member Functions

 SerialConstraint (const Ptr< DynamicConstraint< Real >> &con, const Vector< Real > &u_initial, const TimeStampsPtr< Real > &timeStampsPtr)
 
virtual void solve (Vector< Real > &c, Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Given \(z\), solve \(c(u,z)=0\) for \(u\). More...
 
virtual void update (const Vector< Real > &u, const Vector< Real > &z, 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...
 
virtual void value (Vector< Real > &c, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Evaluate the constraint operator \(c:\mathcal{U}\times\mathcal{Z} \rightarrow \mathcal{C}\) at \((u,z)\). More...
 
virtual void applyJacobian_1 (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the partial constraint Jacobian at \((u,z)\), \(c_u(u,z) \in L(\mathcal{U}, \mathcal{C})\), to the vector \(v\). More...
 
virtual void applyInverseJacobian_1 (Vector< Real > &ijv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the inverse partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^{-1} \in L(\mathcal{C}, \mathcal{U})\), to the vector \(v\). More...
 
virtual void applyAdjointJacobian_1 (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &dualv, Real &tol) override
 Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^* \in L(\mathcal{C}^*, \mathcal{U}^*)\), to the vector \(v\). This is the secondary interface, for use with dual spaces where the user does not define the dual() operation. More...
 
void applyInverseAdjointJacobian_1 (Vector< Real > &iajv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the inverse of the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^{-*} \in L(\mathcal{U}^*, \mathcal{C}^*)\), to the vector \(v\). More...
 
virtual void applyJacobian_2 (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the partial constraint Jacobian at \((u,z)\), \(c_z(u,z) \in L(\mathcal{Z}, \mathcal{C})\), to the vector \(v\). More...
 
virtual void applyAdjointJacobian_2 (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_z(u,z)^* \in L(\mathcal{C}^*, \mathcal{Z}^*)\), to vector \(v\). This is the primary interface. More...
 
virtual void applyAdjointHessian_11 (Vector< Real > &ahwv, const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the simulation-space derivative of the adjoint of the constraint simulation-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{uu}(u,z)(v,\cdot)^*w\). More...
 
virtual void applyAdjointHessian_12 (Vector< Real > &ahwv, const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the optimization-space derivative of the adjoint of the constraint simulation-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{uz}(u,z)(v,\cdot)^*w\). More...
 
virtual void applyAdjointHessian_21 (Vector< Real > &ahwv, const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the simulation-space derivative of the adjoint of the constraint optimization-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{zu}(u,z)(v,\cdot)^*w\). More...
 
virtual void applyAdjointHessian_22 (Vector< Real > &ahwv, const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol) override
 Apply the optimization-space derivative of the adjoint of the constraint optimization-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{zz}(u,z)(v,\cdot)^*w\). More...
 
- Public Member Functions inherited from ROL::ROL::Constraint_SimOpt< Real >
 Constraint_SimOpt ()
 
virtual void update_1 (const Vector< Real > &u, bool flag=true, int iter=-1)
 Update constraint functions with respect to Sim variable. x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
 
virtual void update_2 (const Vector< Real > &z, bool flag=true, int iter=-1)
 Update constraint functions with respect to Opt variable. x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count. More...
 
virtual void setSolveParameters (ParameterList &parlist)
 Set solve parameters. More...
 
virtual void applyAdjointJacobian_1 (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, Real &tol)
 Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^* \in L(\mathcal{C}^*, \mathcal{U}^*)\), to the vector \(v\). This is the primary interface. More...
 
virtual void applyAdjointJacobian_2 (Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &dualv, Real &tol)
 Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_z(u,z)^* \in L(\mathcal{C}^*, \mathcal{Z}^*)\), to vector \(v\). This is the secondary interface, for use with dual spaces where the user does not define the dual() operation. 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 operator, and \(0 : \mathcal{C}^* \rightarrow \mathcal{C}\) is a zero operator. More...

 
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 \(v\). In general, this preconditioner satisfies the following relationship:

\[ c'(x) c'(x)^* P(x) v \approx v \,. \]

It is used by the solveAugmentedSystem method. More...

 
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. More...
 
virtual void value (Vector< Real > &c, const Vector< Real > &x, Real &tol)
 Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\). More...
 
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 \(v\). More...
 
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 \(v\). More...
 
virtual void applyAdjointHessian (Vector< Real > &ahwv, const Vector< Real > &w, 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 \( v \mapsto c''(x)(v,\cdot)^*u \). More...
 
virtual Real checkSolve (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &c, const bool printToStream=true, std::ostream &outStream=std::cout)
 
virtual Real checkAdjointConsistencyJacobian_1 (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const bool printToStream=true, std::ostream &outStream=std::cout)
 Check the consistency of the Jacobian and its adjoint. This is the primary interface. More...
 
virtual Real checkAdjointConsistencyJacobian_1 (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &dualw, const Vector< Real > &dualv, const bool printToStream=true, std::ostream &outStream=std::cout)
 Check the consistency of the Jacobian and its adjoint. This is the secondary interface, for use with dual spaces where the user does not define the dual() operation. More...
 
virtual Real checkAdjointConsistencyJacobian_2 (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const bool printToStream=true, std::ostream &outStream=std::cout)
 Check the consistency of the Jacobian and its adjoint. This is the primary interface. More...
 
virtual Real checkAdjointConsistencyJacobian_2 (const Vector< Real > &w, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &dualw, const Vector< Real > &dualv, const bool printToStream=true, std::ostream &outStream=std::cout)
 Check the consistency of the Jacobian and its adjoint. This is the secondary interface, for use with dual spaces where the user does not define the dual() operation. More...
 
virtual Real checkInverseJacobian_1 (const Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const bool printToStream=true, std::ostream &outStream=std::cout)
 
virtual Real checkInverseAdjointJacobian_1 (const Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const Vector< Real > &z, const bool printToStream=true, std::ostream &outStream=std::cout)
 
std::vector< std::vector< Real > > checkApplyJacobian_1 (const Vector< Real > &u, const Vector< Real > &z, 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)
 
std::vector< std::vector< Real > > checkApplyJacobian_1 (const Vector< Real > &u, const Vector< Real > &z, 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)
 
std::vector< std::vector< Real > > checkApplyJacobian_2 (const Vector< Real > &u, const Vector< Real > &z, 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)
 
std::vector< std::vector< Real > > checkApplyJacobian_2 (const Vector< Real > &u, const Vector< Real > &z, 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)
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_11 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_11 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_21 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 \( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \) More...
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_21 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
 \( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \) More...
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_12 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 \( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \) More...
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_12 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_22 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const bool printToStream=true, std::ostream &outStream=std::cout, const int numSteps=ROL_NUM_CHECKDERIV_STEPS, const int order=1)
 
std::vector< std::vector< Real > > checkApplyAdjointHessian_22 (const Vector< Real > &u, const Vector< Real > &z, const Vector< Real > &p, const Vector< Real > &v, const Vector< Real > &hv, const std::vector< Real > &steps, const bool printToStream=true, std::ostream &outStream=std::cout, const int order=1)
 
- 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...
 
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...
 
virtual void setParameter (const std::vector< Real > &param)
 
- Public Member Functions inherited from ROL::SerialFunction< Real >
 SerialFunction (const Vector< Real > &u_initial, const TimeStampsPtr< Real > &timeStampsPtr)
 
size_type numTimeSteps () const
 
const Vector< Real > & getInitialCondition () const
 
void setInitialCondition (const Vector< Real > &u_initial)
 
const Vector< Real > & getZeroState () const
 
bool getSkipInitialCondition () const
 
void setSkipInitialCondition (bool skip)
 
TimeStampsPtr< Real > getTimeStampsPtr () const
 
void setTimeStampsPtr (const TimeStampsPtr< Real > &timeStampsPtr)
 
TimeStamp< Real > & getTimeStamp (size_type i)
 
const TimeStamp< Real > & getTimeStamp (size_type i) const
 
void setTimeStamp (size_type i, const TimeStamp< Real > &timeStamp)
 

Private Types

using PV = PartitionedVector< Real >
 

Private Attributes

Ptr< DynamicConstraint< Real > > con_
 

Additional Inherited Members

- Protected Member Functions inherited from ROL::Constraint< Real >
const std::vector< Real > getParameter (void) const
 
- Protected Member Functions inherited from ROL::SerialFunction< Real >
const TimeStamp< Real > & ts (size_type i) const
 
Ptr< Vector< Real > > clone (const Vector< Real > &x)
 
- Protected Attributes inherited from ROL::ROL::Constraint_SimOpt< Real >
Real atol_
 
Real rtol_
 
Real stol_
 
Real factor_
 
Real decr_
 
int maxit_
 
bool print_
 
bool zero_
 
int solverType_
 
bool firstSolve_
 

Detailed Description

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

Evaluates ROL::DynamicConstraint over a sequential set of time intervals.


Definition at line 64 of file ROL_SerialConstraint.hpp.

Member Typedef Documentation

template<typename Real >
using ROL::SerialConstraint< Real >::PV = PartitionedVector<Real>
private

Definition at line 68 of file ROL_SerialConstraint.hpp.

template<typename Real >
using ROL::SerialConstraint< Real >::size_type = typename std::vector<Real>::size_type

Definition at line 76 of file ROL_SerialConstraint.hpp.

Constructor & Destructor Documentation

template<typename Real >
ROL::SerialConstraint< Real >::SerialConstraint ( const Ptr< DynamicConstraint< Real >> &  con,
const Vector< Real > &  u_initial,
const TimeStampsPtr< Real > &  timeStampsPtr 
)
inline

Definition at line 82 of file ROL_SerialConstraint.hpp.

Member Function Documentation

template<typename Real >
virtual void ROL::SerialConstraint< Real >::solve ( Vector< Real > &  c,
Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Given \(z\), solve \(c(u,z)=0\) for \(u\).

Parameters
[out]cis the result of evaluating the constraint operator at \((u,z)\); a constraint-space vector
[in,out]uis the solution vector; a simulation-space vector
[in]zis the constraint argument; an optimization-space vector
[in,out]tolis a tolerance for inexact evaluations; currently unused

The defualt implementation is Newton's method globalized with a backtracking line search.


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 88 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::update ( const Vector< Real > &  u,
const Vector< Real > &  z,
bool  flag = true,
int  iter = -1 
)
inlineoverridevirtual

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::ROL::Constraint_SimOpt< Real >.

Definition at line 105 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::value ( Vector< Real > &  c,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Evaluate the constraint operator \(c:\mathcal{U}\times\mathcal{Z} \rightarrow \mathcal{C}\) at \((u,z)\).

Parameters
[out]cis the result of evaluating the constraint operator at \((u,z)\); a constraint-space vector
[in]uis the constraint argument; a simulation-space vector
[in]zis the constraint argument; an optimization-space vector
[in,out]tolis a tolerance for inexact evaluations; currently unused

On return, \(\mathsf{c} = c(u,z)\), where \(\mathsf{c} \in \mathcal{C}\), \(\mathsf{u} \in \mathcal{U}\), and $ \(\mathsf{z} \in\mathcal{Z}\).


Implements ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 118 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyJacobian_1 ( Vector< Real > &  jv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the partial constraint Jacobian at \((u,z)\), \(c_u(u,z) \in L(\mathcal{U}, \mathcal{C})\), to the vector \(v\).

  @param[out]      jv  is the result of applying the constraint Jacobian to @b v at @b  \form#196; a constraint-space vector
  @param[in]       v   is a simulation-space vector
  @param[in]       u   is the constraint argument; an simulation-space vector
  @param[in]       z   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#201, where

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


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 136 of file ROL_SerialConstraint.hpp.

References ROL::SerialFunction< Real >::clone(), ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::getZeroState(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyInverseJacobian_1 ( Vector< Real > &  ijv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the inverse partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^{-1} \in L(\mathcal{C}, \mathcal{U})\), to the vector \(v\).

  @param[out]      ijv is the result of applying the inverse constraint Jacobian to @b v at @b  \form#196; a simulation-space vector
  @param[in]       v   is a constraint-space vector
  @param[in]       u   is the constraint argument; a simulation-space vector
  @param[in]       z   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#207, where

\(v \in \mathcal{C}\), \(\mathsf{ijv} \in \mathcal{U}\).


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 162 of file ROL_SerialConstraint.hpp.

References ROL::SerialFunction< Real >::clone(), ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::getZeroState(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointJacobian_1 ( Vector< Real > &  ajv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
const Vector< Real > &  dualv,
Real &  tol 
)
inlineoverridevirtual

Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^* \in L(\mathcal{C}^*, \mathcal{U}^*)\), to the vector \(v\). This is the secondary interface, for use with dual spaces where the user does not define the dual() operation.

  @param[out]      ajv    is the result of applying the adjoint of the constraint Jacobian to @b v at @b (u,z); a dual simulation-space vector
  @param[in]       v      is a dual constraint-space vector
  @param[in]       u      is the constraint argument; a simulation-space vector
  @param[in]       z      is the constraint argument; an optimization-space vector
  @param[in]       dualv  is a vector used for temporary variables; a constraint-space vector
  @param[in,out]   tol    is a tolerance for inexact evaluations; currently unused

  On return, \form#210, where

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


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 191 of file ROL_SerialConstraint.hpp.

References ROL::SerialFunction< Real >::clone(), ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::getZeroState(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
void ROL::SerialConstraint< Real >::applyInverseAdjointJacobian_1 ( Vector< Real > &  iajv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the inverse of the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_u(u,z)^{-*} \in L(\mathcal{U}^*, \mathcal{C}^*)\), to the vector \(v\).

  @param[out]      iajv is the result of applying the inverse adjoint of the constraint Jacobian to @b v at @b (u,z); a dual constraint-space vector
  @param[in]       v   is a dual simulation-space vector
  @param[in]       u   is the constraint argument; a simulation-space vector
  @param[in]       z   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#216, where

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


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 217 of file ROL_SerialConstraint.hpp.

References ROL::SerialFunction< Real >::clone(), ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::getZeroState(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyJacobian_2 ( Vector< Real > &  jv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the partial constraint Jacobian at \((u,z)\), \(c_z(u,z) \in L(\mathcal{Z}, \mathcal{C})\), to the vector \(v\).

  @param[out]      jv  is the result of applying the constraint Jacobian to @b v at @b  \form#196; a constraint-space vector
  @param[in]       v   is an optimization-space vector
  @param[in]       u   is the constraint argument; a simulation-space vector
  @param[in]       z   is the constraint argument; an optimization-space vector
  @param[in,out]   tol is a tolerance for inexact evaluations; currently unused

  On return, \form#204, where

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


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 255 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointJacobian_2 ( Vector< Real > &  ajv,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the adjoint of the partial constraint Jacobian at \((u,z)\), \(c_z(u,z)^* \in L(\mathcal{C}^*, \mathcal{Z}^*)\), to vector \(v\). This is the primary interface.

  @param[out]      ajv    is the result of applying the adjoint of the constraint Jacobian to @b v at @b  \form#196; a dual optimization-space vector
  @param[in]       v      is a dual constraint-space vector
  @param[in]       u      is the constraint argument; a simulation-space vector
  @param[in]       z      is the constraint argument; an optimization-space vector
  @param[in,out]   tol    is a tolerance for inexact evaluations; currently unused

  On return, \form#213, where

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


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 274 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointHessian_11 ( Vector< Real > &  ahwv,
const Vector< Real > &  w,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the simulation-space derivative of the adjoint of the constraint simulation-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{uu}(u,z)(v,\cdot)^*w\).

  @param[out]      ahwv is the result of applying the simulation-space derivative of the adjoint of the constraint simulation-space Jacobian at @b  \form#196 to the vector @b  \form#219 in direction @b  \form#219; a dual simulation-space vector
  @param[in]       w    is the direction vector; a dual constraint-space vector
  @param[in]       v    is a simulation-space vector
  @param[in]       u    is the constraint argument; a simulation-space vector
  @param[in]       z    is the constraint argument; an optimization-space vector
  @param[in,out]   tol  is a tolerance for inexact evaluations; currently unused

  On return, \form#221, where

\(w \in \mathcal{C}^*\), \(v \in \mathcal{U}\), and \(\mathsf{ahwv} \in \mathcal{U}^*\).


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 293 of file ROL_SerialConstraint.hpp.

References ROL::SerialFunction< Real >::clone(), ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getSkipInitialCondition(), ROL::SerialFunction< Real >::getZeroState(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointHessian_12 ( Vector< Real > &  ahwv,
const Vector< Real > &  w,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the optimization-space derivative of the adjoint of the constraint simulation-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{uz}(u,z)(v,\cdot)^*w\).

  @param[out]      ahwv is the result of applying the optimization-space derivative of the adjoint of the constraint simulation-space Jacobian at @b  \form#196 to the vector @b  \form#219 in direction @b  \form#219; a dual optimization-space vector
  @param[in]       w    is the direction vector; a dual constraint-space vector
  @param[in]       v    is a simulation-space vector
  @param[in]       u    is the constraint argument; a simulation-space vector
  @param[in]       z    is the constraint argument; an optimization-space vector
  @param[in,out]   tol  is a tolerance for inexact evaluations; currently unused

  On return, \form#225, where

\(w \in \mathcal{C}^*\), \(v \in \mathcal{U}\), and \(\mathsf{ahwv} \in \mathcal{Z}^*\).


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 335 of file ROL_SerialConstraint.hpp.

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointHessian_21 ( Vector< Real > &  ahwv,
const Vector< Real > &  w,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the simulation-space derivative of the adjoint of the constraint optimization-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{zu}(u,z)(v,\cdot)^*w\).

  @param[out]      ahwv is the result of applying the simulation-space derivative of the adjoint of the constraint optimization-space Jacobian at @b  \form#196 to the vector @b  \form#219 in direction @b  \form#219; a dual simulation-space vector
  @param[in]       w    is the direction vector; a dual constraint-space vector
  @param[in]       v    is a optimization-space vector
  @param[in]       u    is the constraint argument; a simulation-space vector
  @param[in]       z    is the constraint argument; an optimization-space vector
  @param[in,out]   tol  is a tolerance for inexact evaluations; currently unused

  On return, \form#228, where

\(w \in \mathcal{C}^*\), \(v \in \mathcal{Z}\), and \(\mathsf{ahwv} \in \mathcal{U}^*\).


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 344 of file ROL_SerialConstraint.hpp.

template<typename Real >
virtual void ROL::SerialConstraint< Real >::applyAdjointHessian_22 ( Vector< Real > &  ahwv,
const Vector< Real > &  w,
const Vector< Real > &  v,
const Vector< Real > &  u,
const Vector< Real > &  z,
Real &  tol 
)
inlineoverridevirtual

Apply the optimization-space derivative of the adjoint of the constraint optimization-space Jacobian at \((u,z)\) to the vector \(w\) in the direction \(v\), according to \(v\mapsto c_{zz}(u,z)(v,\cdot)^*w\).

  @param[out]      ahwv is the result of applying the optimization-space derivative of the adjoint of the constraint optimization-space Jacobian at @b  \form#196 to the vector @b  \form#219 in direction @b  \form#219; a dual optimization-space vector
  @param[in]       w    is the direction vector; a dual constraint-space vector
  @param[in]       v    is a optimization-space vector
  @param[in]       u    is the constraint argument; a simulation-space vector
  @param[in]       z    is the constraint argument; an optimization-space vector
  @param[in,out]   tol  is a tolerance for inexact evaluations; currently unused

  On return, \form#230, where

\(w \in \mathcal{C}^*\), \(v \in \mathcal{Z}\), and \(\mathsf{ahwv} \in \mathcal{Z}^*\).


Reimplemented from ROL::ROL::Constraint_SimOpt< Real >.

Definition at line 352 of file ROL_SerialConstraint.hpp.

References ROL::SerialConstraint< Real >::con_, ROL::SerialFunction< Real >::getInitialCondition(), ROL::SerialFunction< Real >::numTimeSteps(), ROL::partition(), and ROL::SerialFunction< Real >::ts().

Member Data Documentation

template<typename Real >
Ptr<DynamicConstraint<Real> > ROL::SerialConstraint< Real >::con_
private

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