File: NLP.h

package info (click to toggle)
octave 2.0.13-4
  • links: PTS
  • area: main
  • in suites: hamm
  • size: 23,828 kB
  • ctags: 13,172
  • sloc: cpp: 66,241; fortran: 37,245; ansic: 26,548; sh: 7,269; makefile: 3,808; lex: 1,943; yacc: 1,844; perl: 1,676; lisp: 1,662; exp: 123
file content (111 lines) | stat: -rw-r--r-- 2,939 bytes parent folder | download | duplicates (5)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
/*

Copyright (C) 1996 John W. Eaton

This file is part of Octave.

Octave is free software; you can redistribute it and/or modify it
under the terms of the GNU General Public License as published by the
Free Software Foundation; either version 2, or (at your option) any
later version.

Octave is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
for more details.

You should have received a copy of the GNU General Public License
along with Octave; see the file COPYING.  If not, write to the Free
Software Foundation, 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.

*/

#if !defined (octave_NLP_h)
#define octave_NLP_h 1

#include "dColVector.h"
#include "Objective.h"
#include "Bounds.h"
#include "LinConst.h"
#include "NLConst.h"
#include "base-min.h"

class
NLP : public base_minimizer
{
public:

  NLP (void)
    : base_minimizer (), phi (), bnds (), lc (), nlc () { }

  NLP (const ColumnVector& x, const Objective& obj)
    : base_minimizer (x), phi (obj), bnds (), lc (), nlc () { }

  NLP (const ColumnVector& x, const Objective& obj, const Bounds& b)
    : base_minimizer (x), phi (obj), bnds (b), lc (), nlc () { }

  NLP (const ColumnVector& x, const Objective& obj, const Bounds& b,
       const LinConst& l)
    : base_minimizer (x), phi (obj), bnds (b), lc (l), nlc () { }

  NLP (const ColumnVector& x, const Objective& obj, const Bounds& b,
       const LinConst& l, const NLConst& nl)
    : base_minimizer (x), phi (obj), bnds (b), lc (l), nlc (nl) { }

  NLP (const ColumnVector& x, const Objective& obj, const LinConst& l)
    : base_minimizer (x), phi (obj), bnds (), lc (l), nlc () { }

  NLP (const ColumnVector& x, const Objective& obj, const LinConst& l,
       const NLConst& nl)
    : base_minimizer (x), phi (obj), bnds (), lc (l), nlc (nl) { }

  NLP (const ColumnVector& x, const Objective& obj, const NLConst& nl)
    : base_minimizer (x), phi (obj), bnds (), lc (), nlc (nl) { }

  NLP (const ColumnVector& x, const Objective& obj, const Bounds& b,
       const NLConst& nl)
    : base_minimizer (x), phi (obj), bnds (b), lc (), nlc (nl) { }

  NLP (const NLP& a)
    : base_minimizer (a), phi (a.phi), bnds (a.bnds), lc (a.lc), nlc (a.nlc)
      { }

  NLP& operator = (const NLP& a)
    {
      if (this != &a)
	{
	  base_minimizer::operator = (a);

	  phi = a.phi;  
	  bnds = a.bnds;
	  lc = a.lc;
	  nlc = a.nlc;
	}
      return *this;
    }

  virtual ~NLP (void) { }

  Objective objective (void) const { return phi; }

  Bounds bounds (void) const { return bnds; }

  LinConst linear_constraints (void) const { return lc; }

  NLConst nonlinear_constraints (void) const { return nlc; }

protected:

  Objective phi;
  Bounds bnds;
  LinConst lc;
  NLConst nlc;
};

#endif

/*
;;; Local Variables: ***
;;; mode: C++ ***
;;; End: ***
*/