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-rw-r--r--test/CMakeLists.txt1
-rw-r--r--test/jacobi.cpp93
-rw-r--r--test/jacobisvd.cpp1
3 files changed, 94 insertions, 1 deletions
diff --git a/test/CMakeLists.txt b/test/CMakeLists.txt
index 95115e9d5..052d4ec13 100644
--- a/test/CMakeLists.txt
+++ b/test/CMakeLists.txt
@@ -91,6 +91,7 @@ ei_add_test(eigensolver_selfadjoint " " "${GSL_LIBRARIES}")
ei_add_test(eigensolver_generic " " "${GSL_LIBRARIES}")
ei_add_test(eigensolver_complex)
ei_add_test(svd)
+ei_add_test(jacobi)
ei_add_test(jacobisvd)
ei_add_test(geo_orthomethods)
ei_add_test(geo_homogeneous)
diff --git a/test/jacobi.cpp b/test/jacobi.cpp
new file mode 100644
index 000000000..eb839fa77
--- /dev/null
+++ b/test/jacobi.cpp
@@ -0,0 +1,93 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@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"
+#include <Eigen/SVD>
+
+template<typename MatrixType, typename JacobiScalar>
+void jacobi(const MatrixType& m = MatrixType())
+{
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename MatrixType::Index Index;
+ Index rows = m.rows();
+ Index cols = m.cols();
+
+ enum {
+ RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+ ColsAtCompileTime = MatrixType::ColsAtCompileTime
+ };
+
+ typedef Matrix<JacobiScalar, 2, 1> JacobiVector;
+
+ const MatrixType a(MatrixType::Random(rows, cols));
+
+ JacobiVector v = JacobiVector::Random().normalized();
+ JacobiScalar c = v.x(), s = v.y();
+ PlanarRotation<JacobiScalar> rot(c, s);
+
+ {
+ Index p = ei_random<Index>(0, rows-1);
+ Index q;
+ do {
+ q = ei_random<Index>(0, rows-1);
+ } while (q == p);
+
+ MatrixType b = a;
+ b.applyOnTheLeft(p, q, rot);
+ VERIFY_IS_APPROX(b.row(p), c * a.row(p) + ei_conj(s) * a.row(q));
+ VERIFY_IS_APPROX(b.row(q), -s * a.row(p) + ei_conj(c) * a.row(q));
+ }
+
+ {
+ Index p = ei_random<Index>(0, cols-1);
+ Index q;
+ do {
+ q = ei_random<Index>(0, cols-1);
+ } while (q == p);
+
+ MatrixType b = a;
+ b.applyOnTheRight(p, q, rot);
+ VERIFY_IS_APPROX(b.col(p), c * a.col(p) - s * a.col(q));
+ VERIFY_IS_APPROX(b.col(q), ei_conj(s) * a.col(p) + ei_conj(c) * a.col(q));
+ }
+}
+
+void test_jacobi()
+{
+ for(int i = 0; i < g_repeat; i++) {
+ CALL_SUBTEST_1(( jacobi<Matrix3f, float>() ));
+ CALL_SUBTEST_2(( jacobi<Matrix4d, double>() ));
+ CALL_SUBTEST_3(( jacobi<Matrix4cf, float>() ));
+ CALL_SUBTEST_3(( jacobi<Matrix4cf, std::complex<float> >() ));
+
+ int r = ei_random<int>(2, 20),
+ c = ei_random<int>(2, 20);
+ CALL_SUBTEST_4(( jacobi<MatrixXf, float>(MatrixXf(r,c)) ));
+ CALL_SUBTEST_5(( jacobi<MatrixXcd, double>(MatrixXcd(r,c)) ));
+ CALL_SUBTEST_5(( jacobi<MatrixXcd, std::complex<double> >(MatrixXcd(r,c)) ));
+ (void) r;
+ (void) c;
+ }
+}
diff --git a/test/jacobisvd.cpp b/test/jacobisvd.cpp
index 0039be388..18ca86c2d 100644
--- a/test/jacobisvd.cpp
+++ b/test/jacobisvd.cpp
@@ -25,7 +25,6 @@
#include "main.h"
#include <Eigen/SVD>
-#include <Eigen/LU>
template<typename MatrixType, int QRPreconditioner>
void jacobisvd_check_full(const MatrixType& m, const JacobiSVD<MatrixType, QRPreconditioner>& svd)