1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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#include <Eigen/LU>
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <algorithm>
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void inverse_permutation_4x4()
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Scalar Scalar;
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Vector4i indices(0,1,2,3);
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < 24; ++i)
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixType m = PermutationMatrix<4>(indices);
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixType inv = m.inverse();
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    double error = double( (m*inv-MatrixType::Identity()).norm() / NumTraits<Scalar>::epsilon() );
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    EIGEN_DEBUG_VAR(error)
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY(error == 0.0);
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    std::next_permutation(indices.data(),indices.data()+4);
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void inverse_general_4x4(int repeat)
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
317faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez  using std::abs;
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::Scalar Scalar;
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename MatrixType::RealScalar RealScalar;
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  double error_sum = 0., error_max = 0.;
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < repeat; ++i)
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixType m;
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    RealScalar absdet;
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    do {
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      m = MatrixType::Random();
417faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      absdet = abs(m.determinant());
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    } while(absdet < NumTraits<Scalar>::epsilon());
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    MatrixType inv = m.inverse();
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / NumTraits<Scalar>::epsilon() );
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    error_sum += error;
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    error_max = (std::max)(error_max, error);
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  double error_avg = error_sum / repeat;
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  EIGEN_DEBUG_VAR(error_avg);
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  EIGEN_DEBUG_VAR(error_max);
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   // FIXME that 1.25 used to be a 1.0 until the NumTraits changes on 28 April 2010, what's going wrong??
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath   // FIXME that 1.25 used to be 1.2 until we tested gcc 4.1 on 30 June 2010 and got 1.21.
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25));
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY(error_max < (NumTraits<Scalar>::IsComplex ? 64.0 : 20.0));
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_prec_inverse_4x4()
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1((inverse_permutation_4x4<Matrix4f>()));
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_1(( inverse_general_4x4<Matrix4f>(200000 * g_repeat) ));
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2((inverse_permutation_4x4<Matrix<double,4,4,RowMajor> >()));
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_2(( inverse_general_4x4<Matrix<double,4,4,RowMajor> >(200000 * g_repeat) ));
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3((inverse_permutation_4x4<Matrix4cf>()));
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  CALL_SUBTEST_3((inverse_general_4x4<Matrix4cf>(50000 * g_repeat)));
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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