1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#define CHECK_MMTR(DEST, TRI, OP) {                   \
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ref2 = ref1 = DEST;                               \
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    DEST.template triangularView<TRI>() OP;           \
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ref1 OP;                                          \
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    ref2.template triangularView<TRI>() = ref1;       \
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_IS_APPROX(DEST,ref2);                      \
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> void mmtr(int size)
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> MatrixColMaj;
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar,Dynamic,Dynamic,RowMajor> MatrixRowMaj;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  DenseIndex othersize = internal::random<DenseIndex>(1,200);
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixColMaj matc(size, size);
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixRowMaj matr(size, size);
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixColMaj ref1(size, size), ref2(size, size);
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixColMaj soc(size,othersize); soc.setRandom();
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixColMaj osc(othersize,size); osc.setRandom();
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixRowMaj sor(size,othersize); sor.setRandom();
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  MatrixRowMaj osr(othersize,size); osr.setRandom();
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s = internal::random<Scalar>();
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Lower, = s*soc*sor.adjoint());
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Upper, = s*(soc*soc.adjoint()));
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Lower, = s*soc*soc.adjoint());
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Upper, = soc*(s*sor.adjoint()));
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Lower, += s*soc*soc.adjoint());
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Upper, += s*(soc*sor.transpose()));
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Lower, += s*sor*soc.adjoint());
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Upper, += soc*(s*soc.adjoint()));
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Lower, -= s*soc*soc.adjoint());
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matc, Upper, -= s*(osc.transpose()*osc.conjugate()));
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Lower, -= s*soc*soc.adjoint());
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CHECK_MMTR(matr, Upper, -= soc*(s*soc.adjoint()));
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_product_mmtr()
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat ; i++)
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1((mmtr<float>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2((mmtr<double>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE))));
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3((mmtr<std::complex<float> >(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))));
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4((mmtr<std::complex<double> >(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))));
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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