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authorGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2011-05-07 22:57:46 +0100
committerGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2011-05-07 22:57:46 +0100
commit6b4e215710dd5c12ad1fe8e820875674bdd849c8 (patch)
treef0aabd83f0302f1fda83da172cad4ce02f7020ea /unsupported/test/matrix_square_root.cpp
parent0896c6d97dc587f76b92687d87ae3e21d0c5aab4 (diff)
Implement matrix square root for complex matrices.
I hope to implement the real case soon, but it's a bit more complicated due to the 2-by-2 blocks in the real Schur decomposition.
Diffstat (limited to 'unsupported/test/matrix_square_root.cpp')
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1 files changed, 46 insertions, 0 deletions
diff --git a/unsupported/test/matrix_square_root.cpp b/unsupported/test/matrix_square_root.cpp
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#include "main.h"
+#include <unsupported/Eigen/MatrixFunctions>
+
+template<typename MatrixType>
+void testMatrixSqrt(const MatrixType& m)
+{
+ typedef typename MatrixType::Index Index;
+ const Index size = m.rows();
+ MatrixType A = MatrixType::Random(size, size);
+ MatrixSquareRoot<MatrixType> msr(A);
+ MatrixType S;
+ msr.compute(S);
+ VERIFY_IS_APPROX(S*S, A);
+}
+
+void test_matrix_square_root()
+{
+ for (int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST_1(testMatrixSqrt(Matrix3cf()));
+ CALL_SUBTEST_2(testMatrixSqrt(MatrixXcd(12,12)));
+ }
+}