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
|
// Copyright (C) 2015 - IIT Bombay - FOSSEE
//
// Author: Keyur Joshi and Harpreet Singh
// Organization: FOSSEE, IIT Bombay
// Email: harpreet.mertia@gmail.com
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
// <-- JVM NOT MANDATORY -->
// <-- ENGLISH IMPOSED -->
//
// assert_close --
// Returns 1 if the two real matrices computed and expected are close,
// i.e. if the relative distance between computed and expected is lesser than epsilon.
// Arguments
// computed, expected : the two matrices to compare
// epsilon : a small number
//
function flag = assert_close ( computed, expected, epsilon )
if expected==0.0 then
shift = norm(computed-expected);
else
shift = norm(computed-expected)/norm(expected);
end
// if shift < epsilon then
// flag = 1;
// else
// flag = 0;
// end
// if flag <> 1 then pause,end
flag = assert_checktrue ( shift < epsilon );
endfunction
//
// assert_equal --
// Returns 1 if the two real matrices computed and expected are equal.
// Arguments
// computed, expected : the two matrices to compare
// epsilon : a small number
//
//function flag = assert_equal ( computed , expected )
// if computed==expected then
// flag = 1;
// else
// flag = 0;
// end
// if flag <> 1 then pause,end
//endfunction
// Objective function
c = [350*5,330*3,310*4,280*6,500,450,400,100]
// Lower Bound of variable
lb = repmat(0,1,8);
// Upper Bound of variables
ub = [repmat(1,1,4) repmat(%inf,1,4)];
// Constraint Matrix
Aeq = [5,3,4,6,1,1,1,1;
5*0.05,3*0.04,4*0.05,6*0.03,0.08,0.07,0.06,0.03;
5*0.03,3*0.03,4*0.04,6*0.04,0.06,0.07,0.08,0.09;]
beq = [ 25, 1.25, 1.25]
intcon = [1 2 3 4];
// Calling Symphony
[x,f,iter] = symphony_mat(c,intcon,[],[],Aeq,beq,lb,ub);
//In Symphony Library for optimal solution status = 227
status = sym_getStatus();
assert_close ( x , [1 1 0 1 7.25 0 0.25 3.5] , 1.e-7 );
assert_close ( f , [ 8495] , 1.e-7 );
assert_checkequal( status , 227 );
|
