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authorGravatar Gael Guennebaud <g.gael@free.fr>2008-05-31 23:44:11 +0000
committerGravatar Gael Guennebaud <g.gael@free.fr>2008-05-31 23:44:11 +0000
commitd5cbb1d0024f75b1d571ef724fbed3f6eeb5ee31 (patch)
tree2ba24941e21632b5c0ad7537c29b7243980cf96a /test/inverse.cpp
parent64169389edb9f852bd7fabe15b4cc1ba909a9796 (diff)
added a unit test for Inverse
discovered that m1 == m1.inverse().inverse() fails though m1.inverse()*m1 == I
Diffstat (limited to 'test/inverse.cpp')
-rw-r--r--test/inverse.cpp69
1 files changed, 69 insertions, 0 deletions
diff --git a/test/inverse.cpp b/test/inverse.cpp
new file mode 100644
index 000000000..ac5d7f180
--- /dev/null
+++ b/test/inverse.cpp
@@ -0,0 +1,69 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
+//
+// 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 <Eigen/LU>
+
+template<typename MatrixType> void inverse(const MatrixType& m)
+{
+ /* this test covers the following files:
+ Inverse.h
+ */
+ int rows = m.rows();
+ int cols = m.cols();
+
+ typedef typename MatrixType::Scalar Scalar;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
+
+ MatrixType m1 = MatrixType::random(rows, cols),
+ m2 = MatrixType::random(rows, cols),
+ m3(rows, cols),
+ mzero = MatrixType::zero(rows, cols),
+ identity = MatrixType::identity(rows, rows);
+
+ m2 = m1.inverse();
+ VERIFY_IS_APPROX(m1, m2.inverse() );
+
+ m3 = (m1+m2).inverse();
+ VERIFY_IS_APPROX(m3+m1, (m1+m2).inverse()+m1);
+
+ VERIFY_IS_APPROX(m1, m1.inverse().eval().inverse() );
+
+ VERIFY_IS_NOT_APPROX(m1, m1.inverse() );
+ VERIFY_IS_APPROX(identity, m1.inverse() * m1 );
+ VERIFY_IS_APPROX(identity, m1 * m1.inverse() );
+
+ // this one fails:
+ VERIFY_IS_APPROX(m1, (m1.inverse()).inverse() );
+}
+
+void test_inverse()
+{
+ for(int i = 0; i < 1; i++) {
+ CALL_SUBTEST( inverse(Matrix2f()) );
+ CALL_SUBTEST( inverse(Matrix3f()) );
+ CALL_SUBTEST( inverse(Matrix4d()) );
+// CALL_SUBTEST( inverse(MatrixXcd(7,7)) );
+ }
+}