Inheritance diagram for InnerConstraint:

Public Member Functions
	InnerConstraint (int n)

void	update (const VectorT &x, ROL::UpdateType type, int iter) override

void	value (VectorT &c, const VectorT &x, RealT &tol) override

void	applyJacobian (VectorT &jv, const VectorT &v, const VectorT &x, RealT &tol) override

void	applyAdjointJacobian (VectorT &ajl, const VectorT &l, const VectorT &x, RealT &tol) override

void	applyAdjointHessian (VectorT &ahlv, const VectorT &l, const VectorT &v, const VectorT &x, RealT &tol) override

Public Member Functions inherited from ROL::StdConstraint< RealT >
virtual	~StdConstraint ()

void	update (const Vector< RealT > &x, 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	update (const std::vector< RealT > &x, bool flag=true, int iter=-1)

void	update (const Vector< RealT > &x, UpdateType type, int iter=-1) override
	Update constraint function. More...

virtual void	update (const std::vector< RealT > &x, UpdateType type, int iter=-1)

void	value (Vector< RealT > &c, const Vector< RealT > &x, RealT &tol) override
	Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\). More...

virtual void	value (std::vector< RealT > &c, const std::vector< RealT > &x, RealT &tol)=0

void	applyJacobian (Vector< RealT > &jv, const Vector< RealT > &v, const Vector< RealT > &x, RealT &tol) override
	Apply the constraint Jacobian at \(x\), \(c'(x) \in L(\mathcal{X}, \mathcal{C})\), to vector \(v\). More...

virtual void	applyJacobian (std::vector< RealT > &jv, const std::vector< RealT > &v, const std::vector< RealT > &x, RealT &tol)

void	applyAdjointJacobian (Vector< RealT > &ajv, const Vector< RealT > &v, const Vector< RealT > &x, RealT &tol) override
	Apply the adjoint of the the constraint Jacobian at \(x\), \(c'(x)^* \in L(\mathcal{C}^, \mathcal{X}^)\), to vector \(v\). More...

virtual void	applyAdjointJacobian (std::vector< RealT > &ajv, const std::vector< RealT > &v, const std::vector< RealT > &x, RealT &tol)

void	applyAdjointHessian (Vector< RealT > &ahuv, const Vector< RealT > &u, const Vector< RealT > &v, const Vector< RealT > &x, RealT &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...

virtual void	applyAdjointHessian (std::vector< RealT > &ahuv, const std::vector< RealT > &u, const std::vector< RealT > &v, const std::vector< RealT > &x, RealT &tol)

std::vector< RealT >	solveAugmentedSystem (Vector< RealT > &v1, Vector< RealT > &v2, const Vector< RealT > &b1, const Vector< RealT > &b2, const Vector< RealT > &x, RealT &tol) override
	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...

virtual std::vector< RealT >	solveAugmentedSystem (std::vector< RealT > &v1, std::vector< RealT > &v2, const std::vector< RealT > &b1, const std::vector< RealT > &b2, const std::vector< RealT > &x, RealTtol)

void	applyPreconditioner (Vector< RealT > &pv, const Vector< RealT > &v, const Vector< RealT > &x, const Vector< RealT > &g, RealT &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...

virtual void	applyPreconditioner (std::vector< RealT > &pv, const std::vector< RealT > &v, const std::vector< RealT > &x, const std::vector< RealT > &g, RealT &tol)

Public Member Functions inherited from ROL::Constraint< RealT >
virtual	~Constraint (void)

	Constraint (void)

virtual void	applyAdjointJacobian (Vector< RealT > &ajv, const Vector< RealT > &v, const Vector< RealT > &x, const Vector< RealT > &dualv, RealT &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< RealT > >	checkApplyJacobian (const Vector< RealT > &x, const Vector< RealT > &v, const Vector< RealT > &jv, const std::vector< RealT > &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< RealT > >	checkApplyJacobian (const Vector< RealT > &x, const Vector< RealT > &v, const Vector< RealT > &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< RealT > >	checkApplyAdjointJacobian (const Vector< RealT > &x, const Vector< RealT > &v, const Vector< RealT > &c, const Vector< RealT > &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 RealT	checkAdjointConsistencyJacobian (const Vector< RealT > &w, const Vector< RealT > &v, const Vector< RealT > &x, const bool printToStream=true, std::ostream &outStream=std::cout)

virtual RealT	checkAdjointConsistencyJacobian (const Vector< RealT > &w, const Vector< RealT > &v, const Vector< RealT > &x, const Vector< RealT > &dualw, const Vector< RealT > &dualv, const bool printToStream=true, std::ostream &outStream=std::cout)

virtual std::vector < std::vector< RealT > >	checkApplyAdjointHessian (const Vector< RealT > &x, const Vector< RealT > &u, const Vector< RealT > &v, const Vector< RealT > &hv, const std::vector< RealT > &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< RealT > >	checkApplyAdjointHessian (const Vector< RealT > &x, const Vector< RealT > &u, const Vector< RealT > &v, const Vector< RealT > &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< RealT > &param)