ROL
ROL_ElasticLinearConstraint_Def.hpp
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43
44#ifndef ROL_ELASTICLINEARCONSTRAINT_DEF_H
45#define ROL_ELASTICLINEARCONSTRAINT_DEF_H
46
47namespace ROL {
48
49template<typename Real>
51 const Ptr<Constraint<Real>> &con,
52 const Ptr<const Vector<Real>> &c)
53 : con_(con), x_(x->clone()), c_(c->clone()), tmp_(x->clone()) {
54 setAnchor(x);
55}
56
57template<typename Real>
59
60template<typename Real>
61void ElasticLinearConstraint<Real>::update( const Vector<Real> &x, bool flag, int iter ) {}
62
63template<typename Real>
65 Ptr<const Vector<Real>> xs = dynamic_cast<const PartitionedVector<Real>&>(x).get(0);
66 Ptr<const Vector<Real>> xu = dynamic_cast<const PartitionedVector<Real>&>(x).get(1);
67 Ptr<const Vector<Real>> xv = dynamic_cast<const PartitionedVector<Real>&>(x).get(2);
68 tmp_->set(*xs); tmp_->axpy(static_cast<Real>(-1),*x_);
69 con_->applyJacobian(c,*tmp_,*x_,tol);
70 c.plus(*c_);
71 c.plus(*xu);
72 c.axpy(static_cast<Real>(-1),*xv);
73}
74
75template<typename Real>
77 Ptr<const Vector<Real>> vs = dynamic_cast<const PartitionedVector<Real>&>(v).get(0);
78 Ptr<const Vector<Real>> vu = dynamic_cast<const PartitionedVector<Real>&>(v).get(1);
79 Ptr<const Vector<Real>> vv = dynamic_cast<const PartitionedVector<Real>&>(v).get(2);
80 con_->applyJacobian(jv,*vs,*x_,tol);
81 jv.plus(*vu);
82 jv.axpy(static_cast<Real>(-1),*vv);
83}
84
85template<typename Real>
87 Ptr<Vector<Real>> as = dynamic_cast<PartitionedVector<Real>&>(ajv).get(0);
88 Ptr<Vector<Real>> au = dynamic_cast<PartitionedVector<Real>&>(ajv).get(1);
89 Ptr<Vector<Real>> av = dynamic_cast<PartitionedVector<Real>&>(ajv).get(2);
90 con_->applyAdjointJacobian(*as,v,*x_,tol);
91 au->set(v.dual());
92 av->set(v.dual()); av->scale(static_cast<Real>(-1));
93}
94
95template<typename Real>
97 Ptr<Vector<Real>> as = dynamic_cast<PartitionedVector<Real>&>(ajv).get(0);
98 Ptr<Vector<Real>> au = dynamic_cast<PartitionedVector<Real>&>(ajv).get(1);
99 Ptr<Vector<Real>> av = dynamic_cast<PartitionedVector<Real>&>(ajv).get(2);
100 con_->applyAdjointJacobian(*as,v,*x_,tol);
101 au->set(dualv);
102 av->set(dualv); av->scale(static_cast<Real>(-1));
103}
104
105template<typename Real>
107 ahuv.zero();
108}
109
110template<typename Real>
112 x_->set(*x);
113 Real tol = std::sqrt(ROL_EPSILON<Real>());
114 con_->value(*c_,*x_,tol);
115}
116
117} // namespace ROL
118
119#endif
Defines the general constraint operator interface.
void applyAdjointJacobian(Vector< Real > &ajv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) override
Apply the adjoint of the the constraint Jacobian at , , to vector .
ElasticLinearConstraint(const Ptr< const Vector< Real > > &x, const Ptr< Constraint< Real > > &con, const Ptr< const Vector< Real > > &c)
void setAnchor(const Ptr< const Vector< Real > > &x)
void applyAdjointHessian(Vector< Real > &ahuv, const Vector< Real > &u, const Vector< Real > &v, const Vector< Real > &x, Real &tol) override
Apply the derivative of the adjoint of the constraint Jacobian at to vector in direction ,...
void value(Vector< Real > &c, const Vector< Real > &x, Real &tol) override
Evaluate the constraint operator at .
void update(const Vector< Real > &x, UpdateType type, int iter=-1) override
Update constraint function.
void applyJacobian(Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) override
Apply the constraint Jacobian at , , to vector .
Defines the linear algebra of vector space on a generic partitioned vector.
Defines the linear algebra or vector space interface.
virtual const Vector & dual() const
Return dual representation of , for example, the result of applying a Riesz map, or change of basis,...
virtual void plus(const Vector &x)=0
Compute , where .
virtual void zero()
Set to zero vector.
virtual void axpy(const Real alpha, const Vector &x)
Compute where .