ROL
src
algorithm
TypeU
linesearch
descent
ROL_Gradient_U.hpp
Go to the documentation of this file.
1
// @HEADER
2
// ************************************************************************
3
//
4
// Rapid Optimization Library (ROL) Package
5
// Copyright (2014) Sandia Corporation
6
//
7
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
8
// license for use of this work by or on behalf of the U.S. Government.
9
//
10
// Redistribution and use in source and binary forms, with or without
11
// modification, are permitted provided that the following conditions are
12
// met:
13
//
14
// 1. Redistributions of source code must retain the above copyright
15
// notice, this list of conditions and the following disclaimer.
16
//
17
// 2. Redistributions in binary form must reproduce the above copyright
18
// notice, this list of conditions and the following disclaimer in the
19
// documentation and/or other materials provided with the distribution.
20
//
21
// 3. Neither the name of the Corporation nor the names of the
22
// contributors may be used to endorse or promote products derived from
23
// this software without specific prior written permission.
24
//
25
// THIS SOFTWARE IS PROVIDED BY SANDIA CORPORATION "AS IS" AND ANY
26
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
27
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
28
// PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION OR THE
29
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
30
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
31
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
32
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
33
// LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
34
// NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
35
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
36
//
37
// Questions? Contact lead developers:
38
// Drew Kouri (dpkouri@sandia.gov) and
39
// Denis Ridzal (dridzal@sandia.gov)
40
//
41
// ************************************************************************
42
// @HEADER
43
44
#ifndef ROL_GRADIENT_U_H
45
#define ROL_GRADIENT_U_H
46
47
#include "
ROL_DescentDirection_U.hpp
"
48
#include "
ROL_Types.hpp
"
49
#include "
ROL_Step.hpp
"
50
57
namespace
ROL
{
58
59
template
<
typename
Real>
60
class
Gradient_U
:
public
DescentDirection_U
<Real> {
61
public
:
62
Gradient_U
() {}
63
64
void
compute
( Vector<Real> &s, Real &
snorm
, Real &sdotg,
int
&
iter
,
int
&
flag
,
65
const
Vector<Real> &x,
const
Vector<Real> &g, Objective<Real> &obj)
override
{
66
s.set(g.dual());
67
s.scale(
static_cast<
Real
>
(-1));
68
snorm
= s.norm();
69
//sdotg = s.dot(g.dual());
70
sdotg = s.apply(g);
71
iter
= 0;
72
flag
= 0;
73
}
74
75
std::string
printName
(
void
)
const override
{
76
std::string name =
"Gradient Descent"
;
77
return
name;
78
}
79
};
// class ROL::Gradient_U
80
81
}
// namespace ROL
82
#endif
ROL_DescentDirection_U.hpp
iter
int iter
Definition
ROL_Secant.hpp:72
ROL_Step.hpp
ROL_Types.hpp
Contains definitions of custom data types in ROL.
snorm
Real snorm
Definition
ROL_Types.hpp:153
flag
bool flag
Definition
ROL_Types.hpp:156
DescentDirection_U
Provides the interface to compute unconstrained optimization steps for line search.
Gradient_U
Provides the interface to compute optimization steps with the gradient descent method globalized usin...
Gradient_U::Gradient_U
Gradient_U()
Definition
ROL_Gradient_U.hpp:62
Gradient_U::printName
std::string printName(void) const override
Definition
ROL_Gradient_U.hpp:75
Gradient_U::compute
void compute(Vector< Real > &s, Real &snorm, Real &sdotg, int &iter, int &flag, const Vector< Real > &x, const Vector< Real > &g, Objective< Real > &obj) override
Definition
ROL_Gradient_U.hpp:64
ROL
Definition
ROL_ElementwiseVector.hpp:61
Generated by
1.12.0