#include <ROL_Constraint_SerialSimOpt.hpp>
Inheritance diagram for ROL::ROL::Constraint_SimOpt< Real >:
Public Member Functions | |
| Constraint_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 (const Vector< Real > &u, const Vector< Real > &z, UpdateType type, int iter=-1) |
| 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_1 (const Vector< Real > &u, UpdateType type, int iter=-1) |
| 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 | update_2 (const Vector< Real > &z, UpdateType type, int iter=-1) |
| virtual void | solve_update (const Vector< Real > &u, const Vector< Real > &z, UpdateType type, int iter=-1) |
| Update SimOpt constraint during solve (disconnected from optimization updates). More... | |
| virtual void | value (Vector< Real > &c, const Vector< Real > &u, const Vector< Real > &z, Real &tol)=0 |
| Evaluate the constraint operator \(c:\mathcal{U}\times\mathcal{Z} \rightarrow \mathcal{C}\) at \((u,z)\). More... | |
| virtual void | solve (Vector< Real > &c, Vector< Real > &u, const Vector< Real > &z, Real &tol) |
| Given \(z\), solve \(c(u,z)=0\) for \(u\). More... | |
| virtual void | setSolveParameters (ParameterList &parlist) |
| Set solve parameters. More... | |
| virtual void | applyJacobian_1 (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const 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... | |
| virtual void | applyJacobian_2 (Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &u, const 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... | |
| virtual void | applyInverseJacobian_1 (Vector< Real > &ijv, const Vector< Real > &v, const Vector< Real > &u, const 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... | |
| 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_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, 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... | |
| 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 void | applyInverseAdjointJacobian_1 (Vector< Real > &iajv, const Vector< Real > &v, const Vector< Real > &u, const 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... | |
| 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) |
| 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) |
| 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) |
| 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) |
| 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... | |
| 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 | update (const Vector< Real > &x, UpdateType type, int iter=-1) |
| Update constraint function. 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 > ¶m) |
Protected Attributes | |
| Real | atol_ |
| Real | rtol_ |
| Real | stol_ |
| Real | factor_ |
| Real | decr_ |
| int | maxit_ |
| bool | print_ |
| bool | zero_ |
| int | solverType_ |
| bool | firstSolve_ |
Private Attributes | |
| Ptr< Vector< Real > > | unew_ |
| Ptr< Vector< Real > > | jv_ |
| const Real | DEFAULT_atol_ |
| const Real | DEFAULT_rtol_ |
| const Real | DEFAULT_stol_ |
| const Real | DEFAULT_factor_ |
| const Real | DEFAULT_decr_ |
| const int | DEFAULT_maxit_ |
| const bool | DEFAULT_print_ |
| const bool | DEFAULT_zero_ |
| const int | DEFAULT_solverType_ |
Additional Inherited Members | |
| Protected Member Functions inherited from ROL::Constraint< Real > | |
| const std::vector< Real > | getParameter (void) const |
Detailed Description
template<class Real>
class ROL::ROL::Constraint_SimOpt< Real >
Definition at line 22 of file ROL_Constraint_SerialSimOpt.hpp.
Constructor & Destructor Documentation
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inline |
Definition at line 108 of file ROL_Constraint_SerialSimOpt.hpp.
References ROL::Constraint_SerialSimOpt< Real >::con_.
Member Function Documentation
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inlinevirtual |
Update constraint functions. x is the optimization variable, flag = true if optimization variable is changed, iter is the outer algorithm iterations count.
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 129 of file ROL_Constraint_SerialSimOpt.hpp.
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Reimplemented in ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 133 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
Reimplemented in ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 143 of file ROL_Constraint_SerialSimOpt.hpp.
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inlinevirtual |
Reimplemented in ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 144 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 151 of file ROL_Constraint_SerialSimOpt.hpp.
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Reimplemented in ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 152 of file ROL_Constraint_SerialSimOpt.hpp.
References ROL::Constraint_SerialSimOpt< Real >::con_.
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Update SimOpt constraint during solve (disconnected from optimization updates).
- Parameters
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[in] x is the optimization variable [in] type is the update type [in] iter is the solver iteration count
Reimplemented in ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 160 of file ROL_Constraint_SerialSimOpt.hpp.
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pure virtual |
Evaluate the constraint operator \(c:\mathcal{U}\times\mathcal{Z} \rightarrow \mathcal{C}\) at \((u,z)\).
- Parameters
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[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 $ \(\mathsf{z} \in\mathcal{Z}\).
Implemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
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Given \(z\), solve \(c(u,z)=0\) for \(u\).
- Parameters
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[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 in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::CompositeConstraint_SimOpt< Real >, and ROL::SerialConstraint< Real >.
Definition at line 191 of file ROL_Constraint_SerialSimOpt.hpp.
References ROL::Constraint_SerialSimOpt< Real >::con_, ROL::Constraint_SerialSimOpt< Real >::partition(), and ROL::Constraint_SerialSimOpt< Real >::u0_.
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Set solve parameters.
- Parameters
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[in] parlist ParameterList containing solve parameters
For the default implementation, parlist has two sublist ("SimOpt" and "Solve") and the "Solve" sublist has six input parameters.
- "Residual Tolerance": Absolute tolerance for the norm of the residual (Real)
- "Iteration Limit": Maximum number of Newton iterations (int)
- "Sufficient Decrease Tolerance": Tolerance signifying sufficient decrease in the residual norm, between 0 and 1 (Real)
- "Step Tolerance": Absolute tolerance for the step size parameter (Real)
- "Backtracking Factor": Rate for decreasing step size during backtracking, between 0 and 1 (Real)
- "Output Iteration History": Set to true in order to print solve iteration history (bool)
- "Zero Initial Guess": Use a vector of zeros as an initial guess for the solve (bool)
- "Solver Type": Determine which solver to use (0: Newton with line search, 1: Levenberg-Marquardt, 2: SQP) (int)
These parameters are accessed as parlist.sublist("SimOpt").sublist("Solve").get(...).
Definition at line 303 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218; 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#224, where
\(v \in \mathcal{U}\), \(\mathsf{jv} \in \mathcal{C}\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 331 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218; 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#227, where
\(v \in \mathcal{Z}\), \(\mathsf{jv} \in \mathcal{C}\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, ROL::Constraint_SerialSimOpt< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 374 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218; 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#230, where
\(v \in \mathcal{C}\), \(\mathsf{ijv} \in \mathcal{U}\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 416 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
@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,out] tol is a tolerance for inexact evaluations; currently unused On return, \form#233, where
\(v \in \mathcal{C}^*\), \(\mathsf{ajv} \in \mathcal{U}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 440 of file ROL_Constraint_SerialSimOpt.hpp.
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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#233, where
\(v \in \mathcal{C}^*\), \(\mathsf{ajv} \in \mathcal{U}^*\).
Reimplemented in ROL::Constraint_SerialSimOpt< Real >, and ROL::SerialConstraint< Real >.
Definition at line 466 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218; 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#236, where
\(v \in \mathcal{C}^*\), \(\mathsf{ajv} \in \mathcal{Z}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, ROL::Constraint_SerialSimOpt< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 511 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
@param[out] ajv is the result of applying the adjoint of the constraint Jacobian to @b v at @b \form#218; 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] 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#236, where
\(v \in \mathcal{C}^*\), \(\mathsf{ajv} \in \mathcal{Z}^*\).
Reimplemented in ROL::Constraint_SerialSimOpt< Real >.
Definition at line 537 of file ROL_Constraint_SerialSimOpt.hpp.
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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#239, where
\(v \in \mathcal{U}^*\), \(\mathsf{iajv} \in \mathcal{C}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 581 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218 to the vector @b \form#242 in direction @b \form#242; 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#244, where
\(w \in \mathcal{C}^*\), \(v \in \mathcal{U}\), and \(\mathsf{ahwv} \in \mathcal{U}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::Constraint_SerialSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 607 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218 to the vector @b \form#242 in direction @b \form#242; 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#248, where
\(w \in \mathcal{C}^*\), \(v \in \mathcal{U}\), and \(\mathsf{ahwv} \in \mathcal{Z}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 652 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218 to the vector @b \form#242 in direction @b \form#242; 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#251, where
\(w \in \mathcal{C}^*\), \(v \in \mathcal{Z}\), and \(\mathsf{ahwv} \in \mathcal{U}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 697 of file ROL_Constraint_SerialSimOpt.hpp.
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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#218 to the vector @b \form#242 in direction @b \form#242; 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#253, where
\(w \in \mathcal{C}^*\), \(v \in \mathcal{Z}\), and \(\mathsf{ahwv} \in \mathcal{Z}^*\).
Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, ROL::Constraint_TimeSimOpt< Real >, ROL::SerialConstraint< Real >, and ROL::CompositeConstraint_SimOpt< Real >.
Definition at line 741 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
- Parameters
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[out] v1 is the optimization-space component of the result [out] v2 is the dual constraint-space component of the result [in] b1 is the dual optimization-space component of the right-hand side [in] b2 is the constraint-space component of the right-hand side [in] x is the constraint argument; an optimization-space vector [in,out] tol is the nominal relative residual tolerance
On return, \( [\mathsf{v1} \,\, \mathsf{v2}] \) approximately solves the augmented system, where the size of the residual is governed by special stopping conditions.
The default implementation is the preconditioned generalized minimal residual (GMRES) method, which enables the use of nonsymmetric preconditioners.
Reimplemented from ROL::Constraint< Real >.
Definition at line 806 of file ROL_Constraint_SerialSimOpt.hpp.
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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.
@param[out] pv is the result of applying the constraint preconditioner to @b v at @b x; a constraint-space vector @param[in] v is a constraint-space vector @param[in] x is the preconditioner argument; an optimization-space vector @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 a null-op.
Reimplemented from ROL::Constraint< Real >.
Definition at line 834 of file ROL_Constraint_SerialSimOpt.hpp.
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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 869 of file ROL_Constraint_SerialSimOpt.hpp.
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Update constraint function.
This function updates the constraint function at new iterations.
- Parameters
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[in] x is the new iterate. [in] type is the type of update requested. [in] iter is the outer algorithm iterations count.
Reimplemented from ROL::Constraint< Real >.
Definition at line 874 of file ROL_Constraint_SerialSimOpt.hpp.
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Evaluate the constraint operator \(c:\mathcal{X} \rightarrow \mathcal{C}\) at \(x\).
- Parameters
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[out] c is the result of evaluating the constraint operator at x; a constraint-space vector [in] x is the constraint argument; an optimization-space vector [in,out] tol is 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 880 of file ROL_Constraint_SerialSimOpt.hpp.
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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 889 of file ROL_Constraint_SerialSimOpt.hpp.
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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 905 of file ROL_Constraint_SerialSimOpt.hpp.
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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 922 of file ROL_Constraint_SerialSimOpt.hpp.
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Reimplemented in ROL::ROL::Constraint_TimeSimOpt< Real >, and ROL::Constraint_TimeSimOpt< Real >.
Definition at line 951 of file ROL_Constraint_SerialSimOpt.hpp.
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Check the consistency of the Jacobian and its adjoint. This is the primary interface.
- Parameters
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[out] w is 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] printToStream is is a flag that turns on/off output [in] outStream is the output stream
Definition at line 992 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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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.
- Parameters
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[out] w is 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] dualw is a constraint-space vector [in] dualv is a dual simulation-space vector [in] printToStream is is a flag that turns on/off output [in] outStream is the output stream
Definition at line 1017 of file ROL_Constraint_SerialSimOpt.hpp.
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Check the consistency of the Jacobian and its adjoint. This is the primary interface.
- Parameters
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[out] w is a dual 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] printToStream is is a flag that turns on/off output [in] outStream is the output stream
Definition at line 1062 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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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.
- Parameters
-
[out] w is a dual 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] dualw is a constraint-space vector [in] dualv is a dual optimization-space vector [in] printToStream is is a flag that turns on/off output [in] outStream is the output stream
Definition at line 1086 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1118 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1148 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1180 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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Definition at line 1199 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1305 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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Definition at line 1324 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1431 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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Definition at line 1449 of file ROL_Constraint_SerialSimOpt.hpp.
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\( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \)
Definition at line 1554 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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\( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \)
Definition at line 1575 of file ROL_Constraint_SerialSimOpt.hpp.
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\( u\in U \), \( z\in Z \), \( p\in C^\ast \), \( v \in U \), \( hv \in U^\ast \)
Definition at line 1680 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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Definition at line 1699 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 1801 of file ROL_Constraint_SerialSimOpt.hpp.
Referenced by main().
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Definition at line 1819 of file ROL_Constraint_SerialSimOpt.hpp.
Member Data Documentation
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Definition at line 77 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 78 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 81 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 82 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 83 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 84 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 85 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 86 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 87 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 88 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 89 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 94 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 95 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 96 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 97 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 98 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 99 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 100 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 101 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 102 of file ROL_Constraint_SerialSimOpt.hpp.
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Definition at line 105 of file ROL_Constraint_SerialSimOpt.hpp.
The documentation for this class was generated from the following file:
