ROL
ROL_ElasticLinearConstraint_Def.hpp
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43 
44 #ifndef ROL_ELASTICLINEARCONSTRAINT_DEF_H
45 #define ROL_ELASTICLINEARCONSTRAINT_DEF_H
46 
47 namespace ROL {
48 
49 template<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 
57 template<typename Real>
59 
60 template<typename Real>
61 void ElasticLinearConstraint<Real>::update( const Vector<Real> &x, bool flag, int iter ) {}
62 
63 template<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 
75 template<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 
85 template<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 
95 template<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 
105 template<typename Real>
107  ahuv.zero();
108 }
109 
110 template<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
virtual const Vector & dual() const
Return dual representation of , for example, the result of applying a Riesz map, or change of basis...
Definition: ROL_Vector.hpp:226
virtual void plus(const Vector &x)=0
Compute , where .
virtual void axpy(const Real alpha, const Vector &x)
Compute where .
Definition: ROL_Vector.hpp:153
Defines the linear algebra of vector space on a generic partitioned vector.
void update(const Vector< Real > &x, UpdateType type, int iter=-1) override
Update constraint function.
virtual void zero()
Set to zero vector.
Definition: ROL_Vector.hpp:167
Defines the linear algebra or vector space interface.
Definition: ROL_Vector.hpp:80
void value(Vector< Real > &c, const Vector< Real > &x, Real &tol) override
Evaluate the constraint operator at .
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 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 .
Defines the general constraint operator interface.
void applyJacobian(Vector< Real > &jv, const Vector< Real > &v, const Vector< Real > &x, Real &tol) override
Apply the constraint Jacobian at , , to vector .