44 #ifndef ROL_COMPOSITE_EQUALITY_CONSTRAINT_SIMOPT_H 
   45 #define ROL_COMPOSITE_EQUALITY_CONSTRAINT_SIMOPT_H 
   78   const ROL::Ptr<Constraint_SimOpt<Real> > 
conVal_;
 
   79   const ROL::Ptr<Constraint_SimOpt<Real> > 
conRed_;
 
   81   ROL::Ptr<Vector<Real> > 
Sz_;
 
   98     bool isComputed = 
false;
 
  125     jv.
scale(static_cast<Real>(-1));
 
  134     ajv.
scale(static_cast<Real>(-1));
 
  142                              const bool storage = 
true, 
const bool isConRedParametrized = 
false)
 
  162     conVal_->update_1(u, flag, iter);
 
  172     Real ctol = std::sqrt(ROL_EPSILON<Real>());
 
  190     conVal_->applyJacobian_1(jv, v, u, *
Sz_, tol);
 
  202     conVal_->applyInverseJacobian_1(ijv, v, u, *
Sz_, tol);
 
  208     conVal_->applyAdjointJacobian_1(ajv, v, u, *
Sz_, tol);
 
  221     conVal_->applyInverseAdjointJacobian_1(ijv, v, u, *
Sz_, tol);
 
  227     conVal_->applyAdjointHessian_11(ahwv, w, v, u, z, tol);
 
  258     dualZ1_->scale(static_cast<Real>(-1));
 
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 ...
virtual const Vector & dual() const 
Return dual representation of , for example, the result of applying a Riesz map, or change of basis...
virtual void scale(const Real alpha)=0
Compute  where . 
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...
virtual ROL::Ptr< Vector > clone() const =0
Clone to make a new (uninitialized) vector. 
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. 
virtual void plus(const Vector &x)=0
Compute , where . 
void applySens(Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &z, Real &tol)
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 , , to vector . This is the primary interface...
virtual void axpy(const Real alpha, const Vector &x)
Compute  where . 
void solve(Vector< Real > &c, Vector< Real > &u, const Vector< Real > &z, Real &tol)
Given , solve  for . 
void applyInverseAdjointJacobian_1(Vector< Real > &ijv, 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 , , to the vector ...
const std::vector< Real > getParameter(void) const 
ROL::Ptr< Vector< Real > > primRed_
ROL::Ptr< Vector< Real > > Sz_
void applyAdjointSens(Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &z, Real &tol)
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. 
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  ...
virtual void zero()
Set to zero vector. 
Defines the linear algebra or vector space interface. 
void solveConRed(const Vector< Real > &z, Real &tol)
ROL::Ptr< Vector< Real > > dualRed_
ROL::Ptr< Vector< Real > > primZ_
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 , , to the vector . 
ROL::Ptr< SimController< Real > > stateStore_
virtual void setParameter(const std::vector< Real > ¶m)
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 , , to the vector . 
Defines a composite equality constraint operator interface for simulation-based optimization. 
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 , , to the vector . 
ROL::Ptr< Vector< Real > > dualZ_
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 ...
const bool isConRedParametrized_
ROL::Ptr< Vector< Real > > dualZ1_
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...
const ROL::Ptr< Constraint_SimOpt< Real > > conRed_
CompositeConstraint_SimOpt(const ROL::Ptr< Constraint_SimOpt< Real > > &conVal, const ROL::Ptr< Constraint_SimOpt< Real > > &conRed, const Vector< Real > &cVal, const Vector< Real > &cRed, const Vector< Real > &u, const Vector< Real > &Sz, const Vector< Real > &z, const bool storage=true, const bool isConRedParametrized=false)
Defines the constraint operator interface for simulation-based optimization. 
void setParameter(const std::vector< Real > ¶m)
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 , , to the vector . This is the primary inter...
const ROL::Ptr< Constraint_SimOpt< Real > > conVal_
void value(Vector< Real > &c, const Vector< Real > &u, const Vector< Real > &z, Real &tol)
Evaluate the constraint operator  at .