77 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			77 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // This file is part of Eigen, a lightweight C++ template library
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| // for linear algebra.
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| //
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| // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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| //
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| // This Source Code Form is subject to the terms of the Mozilla
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| // Public License v. 2.0. If a copy of the MPL was not distributed
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| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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| 
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| #include "main.h"
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| #include <Eigen/LU>
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| #include <algorithm>
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| 
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| template <typename MatrixType>
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| void inverse_permutation_4x4() {
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|   Vector4i indices(0, 1, 2, 3);
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|   for (int i = 0; i < 24; ++i) {
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|     MatrixType m = PermutationMatrix<4>(indices);
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|     MatrixType inv = m.inverse();
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|     VERIFY_IS_APPROX(m * inv, MatrixType::Identity());
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|     std::next_permutation(indices.data(), indices.data() + 4);
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|   }
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| }
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| 
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| template <typename MatrixType>
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| void inverse_general_4x4(int repeat) {
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|   using std::abs;
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|   typedef typename MatrixType::Scalar Scalar;
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|   double error_sum = 0., error_max = 0.;
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|   for (int i = 0; i < repeat; ++i) {
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|     MatrixType m;
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|     bool is_invertible;
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|     do {
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|       m = MatrixType::Random();
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|       is_invertible = Eigen::FullPivLU<MatrixType>(m).isInvertible();
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|     } while (!is_invertible);
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|     MatrixType inv = m.inverse();
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|     double error = double((m * inv - MatrixType::Identity()).norm());
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|     error_sum += error;
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|     error_max = (std::max)(error_max, error);
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|   }
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|   std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
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|   double error_avg = error_sum / repeat;
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|   EIGEN_DEBUG_VAR(error_avg);
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|   EIGEN_DEBUG_VAR(error_max);
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|   // FIXME that 1.25 used to be a 1.0 until the NumTraits changes on 28 April 2010, what's going wrong??
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|   // FIXME that 1.25 used to be 1.2 until we tested gcc 4.1 on 30 June 2010 and got 1.21.
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|   VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25));
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|   VERIFY(error_max < (NumTraits<Scalar>::IsComplex ? 64.0 : 20.0));
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| 
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|   {
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|     int s = 5;  // internal::random<int>(4,10);
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|     int i = 0;  // internal::random<int>(0,s-4);
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|     int j = 0;  // internal::random<int>(0,s-4);
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|     Matrix<Scalar, 5, 5> mat(s, s);
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|     mat.setRandom();
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|     MatrixType submat = mat.template block<4, 4>(i, j);
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|     MatrixType mat_inv = mat.template block<4, 4>(i, j).inverse();
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|     VERIFY_IS_APPROX(mat_inv, submat.inverse());
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|     mat.template block<4, 4>(i, j) = submat.inverse();
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|     VERIFY_IS_APPROX(mat_inv, (mat.template block<4, 4>(i, j)));
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|   }
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| }
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| 
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| EIGEN_DECLARE_TEST(prec_inverse_4x4) {
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|   CALL_SUBTEST_1((inverse_permutation_4x4<Matrix4f>()));
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|   CALL_SUBTEST_1((inverse_general_4x4<Matrix4f>(200000 * g_repeat)));
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|   CALL_SUBTEST_1((inverse_general_4x4<Matrix<float, 4, 4, RowMajor> >(200000 * g_repeat)));
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| 
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|   CALL_SUBTEST_2((inverse_permutation_4x4<Matrix<double, 4, 4, RowMajor> >()));
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|   CALL_SUBTEST_2((inverse_general_4x4<Matrix<double, 4, 4, ColMajor> >(200000 * g_repeat)));
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|   CALL_SUBTEST_2((inverse_general_4x4<Matrix<double, 4, 4, RowMajor> >(200000 * g_repeat)));
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| 
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|   CALL_SUBTEST_3((inverse_permutation_4x4<Matrix4cf>()));
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|   CALL_SUBTEST_3((inverse_general_4x4<Matrix4cf>(50000 * g_repeat)));
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| }
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