1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2011 Jitse Niesen <jitse@maths.leeds.ac.uk> 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 107faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez#include "matrix_functions.h" 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid testMatrixSqrt(const MatrixType& m) 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType A; 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath generateTestMatrix<MatrixType>::run(A, m.rows()); 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType sqrtA = A.sqrt(); 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(sqrtA * sqrtA, A); 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_matrix_square_root() 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for (int i = 0; i < g_repeat; i++) { 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(testMatrixSqrt(Matrix3cf())); 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2(testMatrixSqrt(MatrixXcd(12,12))); 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(testMatrixSqrt(Matrix4f())); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(testMatrixSqrt(Matrix<double,Dynamic,Dynamic,RowMajor>(9, 9))); 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(testMatrixSqrt(Matrix<float,1,1>())); 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(testMatrixSqrt(Matrix<std::complex<float>,1,1>())); 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 32