ROL
ROL_lBFGS.hpp
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43
44#ifndef ROL_LBFGS_H
45#define ROL_LBFGS_H
46
50
51#include "ROL_Secant.hpp"
52
53namespace ROL {
54
55template<class Real>
56class lBFGS : public Secant<Real> {
57private:
58 using Secant<Real>::state_;
59
60public:
61 lBFGS(int M, bool useDefaultScaling = true, Real Bscaling = Real(1))
62 : Secant<Real>(M,useDefaultScaling,Bscaling) {}
63
64 // Apply lBFGS Approximate Inverse Hessian
65 void applyH( Vector<Real> &Hv, const Vector<Real> &v ) const {
66 const Real zero(0);
67
68 auto tmp = v.clone();
69 tmp->set(v);
70 std::vector<Real> alpha(state_->current+1,zero);
71 for (int i = state_->current; i>=0; i--) {
72 alpha[i] = state_->iterDiff[i]->apply(*tmp);
73 alpha[i] /= state_->product[i];
74 tmp->axpy(-alpha[i],*state_->gradDiff[i]);
75 }
76
77 // Apply initial inverse Hessian approximation to v
78 Secant<Real>::applyH0(Hv,*tmp);
79
80 Real beta(0);
81 for (int i = 0; i <= state_->current; i++) {
82 //beta = Hv.dot((state_->gradDiff[i])->dual());
83 beta = Hv.apply(*state_->gradDiff[i]);
84 beta /= state_->product[i];
85 Hv.axpy((alpha[i]-beta),*(state_->iterDiff[i]));
86 }
87 }
88
89 // Apply lBFGS Approximate Hessian
90 void applyB( Vector<Real> &Bv, const Vector<Real> &v ) const {
91 const Real one(1);
92
93 // Apply initial Hessian approximation to v
95
96 std::vector<Ptr<Vector<Real>>> a(state_->current+1);
97 std::vector<Ptr<Vector<Real>>> b(state_->current+1);
98 Real bv(0), av(0), bs(0), as(0);
99 for (int i = 0; i <= state_->current; i++) {
100 b[i] = Bv.clone();
101 b[i]->set(*(state_->gradDiff[i]));
102 b[i]->scale(one/sqrt(state_->product[i]));
103 //bv = v.dot(b[i]->dual());
104 bv = v.apply(*b[i]);
105 Bv.axpy(bv,*b[i]);
106
107 a[i] = Bv.clone();
108 Secant<Real>::applyB0(*a[i],*(state_->iterDiff[i]));
109
110 for (int j = 0; j < i; j++) {
111 //bs = (state_->iterDiff[i])->dot(b[j]->dual());
112 bs = (state_->iterDiff[i])->apply(*b[j]);
113 a[i]->axpy(bs,*b[j]);
114 //as = (state_->iterDiff[i])->dot(a[j]->dual());
115 as = (state_->iterDiff[i])->apply(*a[j]);
116 a[i]->axpy(-as,*a[j]);
117 }
118 //as = (state_->iterDiff[i])->dot(a[i]->dual());
119 as = (state_->iterDiff[i])->apply(*a[i]);
120 a[i]->scale(one/sqrt(as));
121 //av = v.dot(a[i]->dual());
122 av = v.apply(*a[i]);
123 Bv.axpy(-av,*a[i]);
124 }
125 }
126};
127
128}
129
130
131#endif
Objective_SerialSimOpt(const Ptr< Obj > &obj, const V &ui) z0 zero)()
void apply(Vector< Real > &Hv, const Vector< Real > &v, Real &tol) const
Apply linear operator.
const Ptr< SecantState< Real > > state_
Secant(int M=10, bool useDefaultScaling=true, Real Bscaling=Real(1), ESecantMode mode=SECANTMODE_BOTH)
virtual void applyB0(Vector< Real > &Bv, const Vector< Real > &v) const
virtual void applyH0(Vector< Real > &Hv, const Vector< Real > &v) const
Defines the linear algebra or vector space interface.
virtual Real apply(const Vector< Real > &x) const
Apply to a dual vector. This is equivalent to the call .
virtual ROL::Ptr< Vector > clone() const =0
Clone to make a new (uninitialized) vector.
virtual void axpy(const Real alpha, const Vector &x)
Compute where .
void applyB(Vector< Real > &Bv, const Vector< Real > &v) const
Definition ROL_lBFGS.hpp:90
void applyH(Vector< Real > &Hv, const Vector< Real > &v) const
Definition ROL_lBFGS.hpp:65
lBFGS(int M, bool useDefaultScaling=true, Real Bscaling=Real(1))
Definition ROL_lBFGS.hpp:61