1 /*
2  *	This file is part of qpOASES.
3  *
4  *	qpOASES -- An Implementation of the Online Active Set Strategy.
5  *	Copyright (C) 2007-2017 by Hans Joachim Ferreau, Andreas Potschka,
6  *	Christian Kirches et al. All rights reserved.
7  *
8  *	qpOASES is free software; you can redistribute it and/or
9  *	modify it under the terms of the GNU Lesser General Public
10  *	License as published by the Free Software Foundation; either
11  *	version 2.1 of the License, or (at your option) any later version.
12  *
13  *	qpOASES is distributed in the hope that it will be useful,
14  *	but WITHOUT ANY WARRANTY; without even the implied warranty of
15  *	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
16  *	See the GNU Lesser General Public License for more details.
17  *
18  *	You should have received a copy of the GNU Lesser General Public
19  *	License along with qpOASES; if not, write to the Free Software
20  *	Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
21  *
22  */
23 
24 
25 /**
26  *	\file testing/cpp/test_matrices2.cpp
27  *	\author Hans Joachim Ferreau,Andreas Potschka, Christian Kirches
28  *	\version 3.2
29  *	\date 2014-2017
30  *
31  *	Unit test for Matrix classes.
32  */
33 
34 
35 #include <stdlib.h>
36 
37 #include <qpOASES.hpp>
38 #include <qpOASES/UnitTesting.hpp>
39 
40 
41 #include "test_qrecipe_data.hpp"
42 
43 
44 /** Compare deviations when performing matrix operations. */
main()45 int main( )
46 {
47 	USING_NAMESPACE_QPOASES
48 
49 	int_t i;
50 
51 	real_t errH=0.0, errA=0.0;
52 	real_t v[180];
53 	real_t resHs[180];
54 	real_t resHd[180];
55 	real_t resAs[91];
56 	real_t resAd[91];
57 
58 	/* create sparse matrices */
59 	SymSparseMat *H = new SymSparseMat(180, 180, H_ir, H_jc, H_val);
60 	SparseMatrix *A = new SparseMatrix(91, 180, A_ir, A_jc, A_val);
61 
62 	H->createDiagInfo();
63 
64 	real_t* H_full = H->full();
65 	real_t* A_full = A->full();
66 
67 	//print( A_full,91,180 );
68 
69 
70 	SymDenseMat *Hd = new SymDenseMat(180,180,180,H_full);
71 	DenseMatrix *Ad = new DenseMatrix(91,180,180,A_full);
72 
73 	for( i=0; i<180; ++i )
74 		v[i] = 2.0 * ((real_t)rand()) / ((real_t)RAND_MAX) - 1.0;
75 
76 	H ->times(1, 1.0, v, 180, 0.0, resHs, 180);
77 	Hd->times(1, 1.0, v, 180, 0.0, resHd, 180);
78 
79 	A ->times(1, 1.0, v, 180, 0.0, resAs, 91);
80 	Ad->times(1, 1.0, v, 180, 0.0, resAd, 91);
81 
82 
83 	for ( i=0; i<180; ++i )
84 		if ( getAbs(resHs[i] - resHd[i]) > errH)
85 			errH = getAbs(resHs[i] - resHd[i]);
86 
87 	fprintf(stdFile, "maximum difference in H*v: %9.2e\n", errH);
88 
89 
90 	for ( i=0; i<91; ++i )
91 		if ( getAbs(resAs[i] - resAd[i]) > errA)
92 			errA = getAbs(resAs[i] - resAd[i]);
93 
94 	fprintf(stdFile, "maximum difference in A*v: %9.2e\n", errA);
95 
96 	delete H;
97 	delete A;
98 	delete[] H_full;
99 	delete[] A_full;
100 	delete Hd;
101 	delete Ad;
102 
103 
104 	QPOASES_TEST_FOR_TOL( errH,1e-13 )
105 	QPOASES_TEST_FOR_TOL( errA,1e-13 )
106 
107 	return TEST_PASSED;
108 }
109 
110 
111 /*
112  *	end of file
113  */
114