#include <example_02.hpp>

Inheritance diagram for DiffusionEqualityConstraint< Real >:

Public Member Functions
	DiffusionEqualityConstraint (const Teuchos::RCP< FEM< Real > > &FEM)

int	getNumSolves (void) const

void	value (ROL::Vector< Real > &c, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	Evaluate the constraint operator $c:\mathcal{U}\times\mathcal{Z} \rightarrow \mathcal{C}$ at $(u,z)$. More...

void	solve (ROL::Vector< Real > &c, ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	Given $z$, solve $c(u,z)=0$ for $u$. More...

void	applyJacobian_1 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	Apply the partial constraint Jacobian at $(u,z)$, $c_u(u,z) \in L(\mathcal{U}, \mathcal{C})$, to the vector $v$. More...

void	applyJacobian_2 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	Apply the partial constraint Jacobian at $(u,z)$, $c_z(u,z) \in L(\mathcal{Z}, \mathcal{C})$, to the vector $v$. More...

void	applyInverseJacobian_1 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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...

void	applyAdjointJacobian_1 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::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...

void	applyAdjointJacobian_2 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, 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 primary interface. More...

void	applyInverseAdjointJacobian_1 (ROL::Vector< Real > &jv, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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...

void	applyAdjointHessian_11 (ROL::Vector< Real > &ahwv, const ROL::Vector< Real > &w, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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...

void	applyAdjointHessian_12 (ROL::Vector< Real > &ahwv, const ROL::Vector< Real > &w, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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...

void	applyAdjointHessian_21 (ROL::Vector< Real > &ahwv, const ROL::Vector< Real > &w, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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...

void	applyAdjointHessian_22 (ROL::Vector< Real > &ahwv, const ROL::Vector< Real > &w, const ROL::Vector< Real > &v, const ROL::Vector< Real > &u, const ROL::Vector< Real > &z, Real &tol)
	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::EqualityConstraint_SimOpt< Real >
	EqualityConstraint_SimOpt ()

virtual void	update (const Vector< Real > &u, const Vector< Real > &z, 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	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 (Teuchos::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, const Vector< Real > &dualv, 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 secondary interface, for use with dual spaces where the user does not define the dual() operation. 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 bool	isFeasible (const Vector< Real > &v)
	Check if the vector, v, is feasible. 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 ROL::Vector< Real > &u, const ROL::Vector< Real > &z, const ROL::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)

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)

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)

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::EqualityConstraint< Real >
virtual	~EqualityConstraint ()

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...

	EqualityConstraint (void)

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)

Private Member Functions
void	plus (std::vector< Real > &u, const std::vector< Real > &s, const Real alpha=1.0)

void	scale (std::vector< Real > &u, const Real alpha=0.0)

Private Attributes
const Teuchos::RCP< FEM< Real > >	FEM_

bool	num_solves_

Additional Inherited Members
Protected Member Functions inherited from ROL::EqualityConstraint< Real >
const std::vector< Real >	getParameter (void) const

Detailed Description

template<class Real>
class DiffusionEqualityConstraint< Real >

Definition at line 403 of file poisson-control/example_02.hpp.

Constructor & Destructor Documentation

template<class Real >

DiffusionEqualityConstraint< Real >::DiffusionEqualityConstraint ( const Teuchos::RCP< FEM< Real > > & FEM )

inline

Definition at line 432 of file poisson-control/example_02.hpp.

Member Function Documentation

template<class Real >

void DiffusionEqualityConstraint< Real >::plus	(	std::vector< Real > &	u,
		const std::vector< Real > &	s,
		const Real	alpha = `1.0`
	)

inlineprivate

Definition at line 413 of file poisson-control/example_02.hpp.

Referenced by DiffusionEqualityConstraint< Real >::solve(), and DiffusionEqualityConstraint< Real >::value().

template<class Real >

void DiffusionEqualityConstraint< Real >::scale	(	std::vector< Real > &	u,
		const Real	alpha = `0.0`
	)

inlineprivate

Definition at line 421 of file poisson-control/example_02.hpp.

Referenced by DiffusionEqualityConstraint< Real >::applyAdjointJacobian_2(), and DiffusionEqualityConstraint< Real >::applyJacobian_2().

template<class Real >

int DiffusionEqualityConstraint< Real >::getNumSolves ( void ) const

inline

Definition at line 434 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::num_solves_.

template<class Real >

void DiffusionEqualityConstraint< Real >::value	(	ROL::Vector< Real > &	c,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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

Parameters

[out]	c	is the result of evaluating the constraint operator at $(u,z)$; a constraint-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is 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::EqualityConstraint_SimOpt< Real >.

Definition at line 438 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, ROL::EqualityConstraint< Real >::getParameter(), and DiffusionEqualityConstraint< Real >::plus().

Referenced by DiffusionEqualityConstraint< Real >::solve().

template<class Real >

void DiffusionEqualityConstraint< Real >::solve	(	ROL::Vector< Real > &	c,
		ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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

Parameters

[out]	c	is the result of evaluating the constraint operator at $(u,z)$; a constraint-space vector
[in,out]	u	is the solution vector; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

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

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 454 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, ROL::EqualityConstraint< Real >::getParameter(), DiffusionEqualityConstraint< Real >::num_solves_, DiffusionEqualityConstraint< Real >::plus(), and DiffusionEqualityConstraint< Real >::value().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyJacobian_1	(	ROL::Vector< Real > &	jv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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

Parameters

[out]	jv	is the result of applying the constraint Jacobian to v at $(u,z)$; a constraint-space vector
[in]	v	is a simulation-space vector
[in]	u	is the constraint argument; an simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

On return, $\mathsf{jv} = c_u(u,z)v$, where $v \in \mathcal{U}$, $\mathsf{jv} \in \mathcal{C}$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 476 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, and ROL::EqualityConstraint< Real >::getParameter().

Referenced by DiffusionEqualityConstraint< Real >::applyAdjointJacobian_1().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyJacobian_2	(	ROL::Vector< Real > &	jv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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

Parameters

[out]	jv	is the result of applying the constraint Jacobian to v at $(u,z)$; a constraint-space vector
[in]	v	is an optimization-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

On return, $\mathsf{jv} = c_z(u,z)v$, where $v \in \mathcal{Z}$, $\mathsf{jv} \in \mathcal{C}$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 483 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, ROL::EqualityConstraint< Real >::getParameter(), and DiffusionEqualityConstraint< Real >::scale().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyInverseJacobian_1	(	ROL::Vector< Real > &	ijv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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

Parameters

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

On return, $\mathsf{ijv} = c_u(u,z)^{-1}v$, where $v \in \mathcal{C}$, $\mathsf{ijv} \in \mathcal{U}$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 491 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, ROL::EqualityConstraint< Real >::getParameter(), and DiffusionEqualityConstraint< Real >::num_solves_.

Referenced by DiffusionEqualityConstraint< Real >::applyInverseAdjointJacobian_1().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointJacobian_1	(	ROL::Vector< Real > &	ajv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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.

Parameters

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

On return, $\mathsf{ajv} = c_u(u,z)^*v$, where $v \in \mathcal{C}^*$, $\mathsf{ajv} \in \mathcal{U}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 505 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::applyJacobian_1().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointJacobian_2	(	ROL::Vector< Real > &	ajv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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.

Parameters

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

On return, $\mathsf{ajv} = c_z(u,z)^*v$, where $v \in \mathcal{C}^*$, $\mathsf{ajv} \in \mathcal{Z}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 510 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::FEM_, ROL::EqualityConstraint< Real >::getParameter(), and DiffusionEqualityConstraint< Real >::scale().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyInverseAdjointJacobian_1	(	ROL::Vector< Real > &	iajv,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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 $v$.

Parameters

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

On return, $\mathsf{iajv} = c_u(u,z)^{-*}v$, where $v \in \mathcal{U}^*$, $\mathsf{iajv} \in \mathcal{C}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 518 of file poisson-control/example_02.hpp.

References DiffusionEqualityConstraint< Real >::applyInverseJacobian_1().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointHessian_11	(	ROL::Vector< Real > &	ahwv,
		const ROL::Vector< Real > &	w,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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 $v\mapsto c_{uu}(u,z)(v,\cdot)^*w$.

Parameters

[out]	ahwv	is the result of applying the simulation-space derivative of the adjoint of the constraint simulation-space Jacobian at $(u,z)$ to the vector $w$ in direction $w$; a dual simulation-space vector
[in]	w	is the direction vector; a dual constraint-space vector
[in]	v	is a simulation-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

On return, $\mathsf{ahwv} = c_{uu}(u,z)(v,\cdot)^*w$, where $w \in \mathcal{C}^*$, $v \in \mathcal{U}$, and $\mathsf{ahwv} \in \mathcal{U}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 523 of file poisson-control/example_02.hpp.

References ROL::Vector< Real >::zero().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointHessian_12	(	ROL::Vector< Real > &	ahwv,
		const ROL::Vector< Real > &	w,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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 $v\mapsto c_{uz}(u,z)(v,\cdot)^*w$.

Parameters

[out]	ahwv	is the result of applying the optimization-space derivative of the adjoint of the constraint simulation-space Jacobian at $(u,z)$ to the vector $w$ in direction $w$; a dual optimization-space vector
[in]	w	is the direction vector; a dual constraint-space vector
[in]	v	is a simulation-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

On return, $\mathsf{ahwv} = c_{uz}(u,z)(v,\cdot)^*w$, where $w \in \mathcal{C}^*$, $v \in \mathcal{U}$, and $\mathsf{ahwv} \in \mathcal{Z}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 528 of file poisson-control/example_02.hpp.

References ROL::Vector< Real >::zero().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointHessian_21	(	ROL::Vector< Real > &	ahwv,
		const ROL::Vector< Real > &	w,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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 $v\mapsto c_{zu}(u,z)(v,\cdot)^*w$.

Parameters

[out]	ahwv	is the result of applying the simulation-space derivative of the adjoint of the constraint optimization-space Jacobian at $(u,z)$ to the vector $w$ in direction $w$; a dual simulation-space vector
[in]	w	is the direction vector; a dual constraint-space vector
[in]	v	is a optimization-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused

On return, $\mathsf{ahwv} = c_{zu}(u,z)(v,\cdot)^*w$, where $w \in \mathcal{C}^*$, $v \in \mathcal{Z}$, and $\mathsf{ahwv} \in \mathcal{U}^*$.

Reimplemented from ROL::EqualityConstraint_SimOpt< Real >.

Definition at line 533 of file poisson-control/example_02.hpp.

References ROL::Vector< Real >::zero().

template<class Real >

void DiffusionEqualityConstraint< Real >::applyAdjointHessian_22	(	ROL::Vector< Real > &	ahwv,
		const ROL::Vector< Real > &	w,
		const ROL::Vector< Real > &	v,
		const ROL::Vector< Real > &	u,
		const ROL::Vector< Real > &	z,
		Real &	tol
	)

inlinevirtual

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 $v\mapsto c_{zz}(u,z)(v,\cdot)^*w$.

Parameters

[out]	ahwv	is the result of applying the optimization-space derivative of the adjoint of the constraint optimization-space Jacobian at $(u,z)$ to the vector $w$ in direction $w$; a dual optimization-space vector
[in]	w	is the direction vector; a dual constraint-space vector
[in]	v	is a optimization-space vector
[in]	u	is the constraint argument; a simulation-space vector
[in]	z	is the constraint argument; an optimization-space vector
[in,out]	tol	is a tolerance for inexact evaluations; currently unused