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authorGravatar Gael Guennebaud <g.gael@free.fr>2009-07-23 21:22:51 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2009-07-23 21:22:51 +0200
commit82c5438c95a587708483d3bb0933b9166d7bb303 (patch)
tree6c6bc97a179169353123fd9c23efef69919e1339 /test/product_symm.cpp
parentb67abe22b3b772205578bd0fdca8b97186314428 (diff)
split and add unit tests for symm and syrk,
the .rank*update() functions now returns a reference to *this
Diffstat (limited to 'test/product_symm.cpp')
-rw-r--r--test/product_symm.cpp96
1 files changed, 96 insertions, 0 deletions
diff --git a/test/product_symm.cpp b/test/product_symm.cpp
new file mode 100644
index 000000000..3a0cd94d0
--- /dev/null
+++ b/test/product_symm.cpp
@@ -0,0 +1,96 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 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"
+
+template<typename MatrixType> void symm(const MatrixType& m)
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename NumTraits<Scalar>::Real RealScalar;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, Dynamic> Rhs1;
+ typedef Matrix<Scalar, Dynamic, MatrixType::RowsAtCompileTime> Rhs2;
+ typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, Dynamic,RowMajor> Rhs3;
+
+ int rows = m.rows();
+ int cols = m.cols();
+
+ MatrixType m1 = MatrixType::Random(rows, cols),
+ m2 = MatrixType::Random(rows, cols);
+
+ m1 = (m1+m1.adjoint()).eval();
+
+ Rhs1 rhs1 = Rhs1::Random(cols, ei_random<int>(1,320)), rhs12, rhs13;
+ Rhs2 rhs2 = Rhs2::Random(ei_random<int>(1,320), rows), rhs22, rhs23;
+ Rhs3 rhs3 = Rhs3::Random(cols, ei_random<int>(1,320)), rhs32, rhs33;
+
+ Scalar s1 = ei_random<Scalar>(),
+ s2 = ei_random<Scalar>();
+
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs12 = (s1*m2).template selfadjointView<LowerTriangular>() * (s2*rhs1),
+ rhs13 = (s1*m1) * (s2*rhs1));
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs12 = (s1*m2).template selfadjointView<UpperTriangular>() * (s2*rhs1),
+ rhs13 = (s1*m1) * (s2*rhs1));
+
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs22 = (s1*m2).template selfadjointView<LowerTriangular>() * (s2*rhs2.adjoint()),
+ rhs23 = (s1*m1) * (s2*rhs2.adjoint()));
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs22 = (s1*m2).template selfadjointView<UpperTriangular>() * (s2*rhs2.adjoint()),
+ rhs23 = (s1*m1) * (s2*rhs2.adjoint()));
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs22 = (s1*m2.adjoint()).template selfadjointView<LowerTriangular>() * (s2*rhs2.adjoint()),
+ rhs23 = (s1*m1.adjoint()) * (s2*rhs2.adjoint()));
+
+ // test row major = <...>
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs32 = (s1*m2).template selfadjointView<LowerTriangular>() * (s2*rhs3),
+ rhs33 = (s1*m1) * (s2 * rhs3));
+
+ m2 = m1.template triangularView<UpperTriangular>();
+ VERIFY_IS_APPROX(rhs32 = (s1*m2.adjoint()).template selfadjointView<LowerTriangular>() * (s2*rhs3).conjugate(),
+ rhs33 = (s1*m1.adjoint()) * (s2*rhs3).conjugate());
+
+ // test matrix * selfadjoint
+ m2 = m1.template triangularView<LowerTriangular>();
+ VERIFY_IS_APPROX(rhs22 = (rhs2) * (m2).template selfadjointView<LowerTriangular>(),
+ rhs23 = (rhs2) * (m1));
+ VERIFY_IS_APPROX(rhs22 = (s2*rhs2) * (s1*m2).template selfadjointView<LowerTriangular>(),
+ rhs23 = (s2*rhs2) * (s1*m1));
+}
+void test_product_symm()
+{
+ for(int i = 0; i < g_repeat ; i++)
+ {
+ int s;
+ s = ei_random<int>(10,320);
+ CALL_SUBTEST( symm(MatrixXf(s, s)) );
+ s = ei_random<int>(10,320);
+ CALL_SUBTEST( symm(MatrixXcd(s, s)) );
+ }
+}