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}
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