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authorGravatar Gael Guennebaud <g.gael@free.fr>2010-05-19 16:35:34 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2010-05-19 16:35:34 +0200
commitbf09fe55edd7114dfb150a8a9dbb62965e3e3201 (patch)
tree6db6c2a95f921f5ddd3a40c8e16a5990481bf627 /test/selfadjoint.cpp
parent08fbfa93e0ebfec9e0402ac12f007bb7955fbf5f (diff)
fix selfadjoint to dense
Diffstat (limited to 'test/selfadjoint.cpp')
-rw-r--r--test/selfadjoint.cpp66
1 files changed, 66 insertions, 0 deletions
diff --git a/test/selfadjoint.cpp b/test/selfadjoint.cpp
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+++ b/test/selfadjoint.cpp
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+// This file is triangularView of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@gmail.com>
+//
+// 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"
+
+// This file tests the basic selfadjointView API,
+// the related products and decompositions are tested in specific files.
+
+template<typename MatrixType> void selfadjoint(const MatrixType& m)
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename NumTraits<Scalar>::Real RealScalar;
+
+ int rows = m.rows();
+ int cols = m.cols();
+
+ MatrixType m1 = MatrixType::Random(rows, cols),
+ m3(rows, cols);
+
+ m1.diagonal() = m1.diagonal().real().template cast<Scalar>();
+
+ // check selfadjoint to dense
+ m3 = m1.template selfadjointView<Upper>();
+ VERIFY_IS_APPROX(MatrixType(m3.template triangularView<Upper>()), MatrixType(m1.template triangularView<Upper>()));
+ VERIFY_IS_APPROX(m3, m3.adjoint());
+
+
+ m3 = m1.template selfadjointView<Lower>();
+ VERIFY_IS_APPROX(MatrixType(m3.template triangularView<Lower>()), MatrixType(m1.template triangularView<Lower>()));
+ VERIFY_IS_APPROX(m3, m3.adjoint());
+}
+
+void test_selfadjoint()
+{
+ for(int i = 0; i < g_repeat ; i++)
+ {
+ EIGEN_UNUSED int s = ei_random<int>(1,20);
+
+ CALL_SUBTEST_1( selfadjoint(Matrix<float, 1, 1>()) );
+ CALL_SUBTEST_2( selfadjoint(Matrix<float, 2, 2>()) );
+ CALL_SUBTEST_3( selfadjoint(Matrix3cf()) );
+ CALL_SUBTEST_4( selfadjoint(MatrixXcd(s,s)) );
+ CALL_SUBTEST_5( selfadjoint(Matrix<float,Dynamic,Dynamic,RowMajor>(s, s)) );
+ }
+}