gauss_newton_approximation.cpp
Go to the documentation of this file.
1 /*
2  * This file is part of ACADO Toolkit.
3  *
4  * ACADO Toolkit -- A Toolkit for Automatic Control and Dynamic Optimization.
5  * Copyright (C) 2008-2014 by Boris Houska, Hans Joachim Ferreau,
6  * Milan Vukov, Rien Quirynen, KU Leuven.
7  * Developed within the Optimization in Engineering Center (OPTEC)
8  * under supervision of Moritz Diehl. All rights reserved.
9  *
10  * ACADO Toolkit is free software; you can redistribute it and/or
11  * modify it under the terms of the GNU Lesser General Public
12  * License as published by the Free Software Foundation; either
13  * version 3 of the License, or (at your option) any later version.
14  *
15  * ACADO Toolkit is distributed in the hope that it will be useful,
16  * but WITHOUT ANY WARRANTY; without even the implied warranty of
17  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18  * Lesser General Public License for more details.
19  *
20  * You should have received a copy of the GNU Lesser General Public
21  * License along with ACADO Toolkit; if not, write to the Free Software
22  * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
23  *
24  */
25 
26 
35 
36 
37 
39 
40 
41 //
42 // PUBLIC MEMBER FUNCTIONS:
43 //
44 
46 {
47 }
48 
49 
51 {
52 }
53 
54 
56 {
57 }
58 
59 
61 {
62 }
63 
64 
66 {
67  if ( this != &rhs )
68  {
70  }
71 
72  return *this;
73 }
74 
75 
77 {
78  return new GaussNewtonApproximation( *this );
79 }
80 
81 
82 
84  uint N,
85  const OCPiterate& iter
86  )
87 {
88  return SUCCESSFUL_RETURN;
89 }
90 
91 
93  const BlockMatrix& x,
94  const BlockMatrix& y
95  )
96 {
97  return SUCCESSFUL_RETURN;
98 }
99 
100 
101 
103  const BlockMatrix &x,
104  const BlockMatrix &y
105  )
106 {
107  return SUCCESSFUL_RETURN;
108 }
109 
110 
111 
112 //
113 // PROTECTED MEMBER FUNCTIONS:
114 //
115 
116 
117 
118 
119 
121 
122 // end of file.
#define N
Data class for storing generic optimization variables.
Definition: ocp_iterate.hpp:57
Implements a very rudimentary block sparse matrix class.
Allows to pass back messages to the calling function.
BEGIN_NAMESPACE_ACADO typedef unsigned int uint
Definition: acado_types.hpp:42
#define CLOSE_NAMESPACE_ACADO
Implements a Gauss-Newton approximation as second-order derivatives within NLPsolvers.
virtual returnValue initScaling(BlockMatrix &B, const BlockMatrix &x, const BlockMatrix &y)
Encapsulates all user interaction for setting options, logging data and plotting results.
void rhs(const real_t *x, real_t *f)
virtual returnValue apply(BlockMatrix &B, const BlockMatrix &x, const BlockMatrix &y)
virtual NLPderivativeApproximation * clone() const
virtual returnValue initHessian(BlockMatrix &B, uint N, const OCPiterate &iter)
GaussNewtonApproximation & operator=(const GaussNewtonApproximation &rhs)
#define BEGIN_NAMESPACE_ACADO
NLPderivativeApproximation & operator=(const NLPderivativeApproximation &rhs)
Base class for techniques of approximating second-order derivatives within NLPsolvers.


acado
Author(s): Milan Vukov, Rien Quirynen
autogenerated on Mon Jun 10 2019 12:34:37