ROL_ElasticLinearConstraint_Def.hpp

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// @HEADER
// *****************************************************************************
//               Rapid Optimization Library (ROL) Package
//
// Copyright 2014 NTESS and the ROL contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER
 
#ifndef ROL_ELASTICLINEARCONSTRAINT_DEF_H
#define ROL_ELASTICLINEARCONSTRAINT_DEF_H
 
namespace ROL {
 
template<typename Real>
ElasticLinearConstraint<Real>::ElasticLinearConstraint(const Ptr<const Vector<Real>> &x,
                                                       const Ptr<Constraint<Real>>   &con,
                                                       const Ptr<const Vector<Real>> &c)
  : con_(con), x_(x->clone()), c_(c->clone()), tmp_(x->clone()) {
  setAnchor(x);
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::update( const Vector<Real> &x, UpdateType type, int iter ) {}
 
template<typename Real>
void ElasticLinearConstraint<Real>::update( const Vector<Real> &x, bool flag, int iter ) {}
 
template<typename Real>
void ElasticLinearConstraint<Real>::value(Vector<Real> &c, const Vector<Real> &x, Real &tol) {
  Ptr<const Vector<Real>> xs = dynamic_cast<const PartitionedVector<Real>&>(x).get(0);
  Ptr<const Vector<Real>> xu = dynamic_cast<const PartitionedVector<Real>&>(x).get(1);
  Ptr<const Vector<Real>> xv = dynamic_cast<const PartitionedVector<Real>&>(x).get(2);
  tmp_->set(*xs); tmp_->axpy(static_cast<Real>(-1),*x_);
  con_->applyJacobian(c,*tmp_,*x_,tol);
  c.plus(*c_);
  c.plus(*xu);
  c.axpy(static_cast<Real>(-1),*xv);
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::applyJacobian(Vector<Real> &jv, const Vector<Real> &v, const Vector<Real> &x, Real &tol) {
  Ptr<const Vector<Real>> vs = dynamic_cast<const PartitionedVector<Real>&>(v).get(0);
  Ptr<const Vector<Real>> vu = dynamic_cast<const PartitionedVector<Real>&>(v).get(1);
  Ptr<const Vector<Real>> vv = dynamic_cast<const PartitionedVector<Real>&>(v).get(2);
  con_->applyJacobian(jv,*vs,*x_,tol);
  jv.plus(*vu);
  jv.axpy(static_cast<Real>(-1),*vv);
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::applyAdjointJacobian(Vector<Real> &ajv, const Vector<Real> &v, const Vector<Real> &x, Real &tol) {
  Ptr<Vector<Real>> as = dynamic_cast<PartitionedVector<Real>&>(ajv).get(0);
  Ptr<Vector<Real>> au = dynamic_cast<PartitionedVector<Real>&>(ajv).get(1);
  Ptr<Vector<Real>> av = dynamic_cast<PartitionedVector<Real>&>(ajv).get(2);
  con_->applyAdjointJacobian(*as,v,*x_,tol);
  au->set(v.dual());
  av->set(v.dual()); av->scale(static_cast<Real>(-1));
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::applyAdjointJacobian(Vector<Real> &ajv, const Vector<Real> &v, const Vector<Real> &x, const Vector<Real> &dualv, Real &tol) {
  Ptr<Vector<Real>> as = dynamic_cast<PartitionedVector<Real>&>(ajv).get(0);
  Ptr<Vector<Real>> au = dynamic_cast<PartitionedVector<Real>&>(ajv).get(1);
  Ptr<Vector<Real>> av = dynamic_cast<PartitionedVector<Real>&>(ajv).get(2);
  con_->applyAdjointJacobian(*as,v,*x_,tol);
  au->set(dualv);
  av->set(dualv); av->scale(static_cast<Real>(-1));
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::applyAdjointHessian(Vector<Real> &ahuv, const Vector<Real> &u, const Vector<Real> &v, const Vector<Real> &x, Real &tol) {
  ahuv.zero();
}
 
template<typename Real>
void ElasticLinearConstraint<Real>::setAnchor(const Ptr<const Vector<Real>> &x) {
  x_->set(*x);
  Real tol = std::sqrt(ROL_EPSILON<Real>());
  con_->value(*c_,*x_,tol);
}
 
} // namespace ROL
 
#endif