aboutsummaryrefslogtreecommitdiffhomepage
path: root/test/schur_real.cpp
diff options
context:
space:
mode:
authorGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2010-04-02 14:32:20 +0100
committerGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2010-04-02 14:32:20 +0100
commita16a36ecf2596fadffd6474d059c334baa905c06 (patch)
tree5fa0008c7cb51a991dd79c4b9465ebe645da8a94 /test/schur_real.cpp
parent3a14a135331519f85b6490e803403d054598329e (diff)
Add tests for real and complex Schur; extend test for Hessenberg.
Make a minor correction to the ComplexSchur class.
Diffstat (limited to 'test/schur_real.cpp')
-rw-r--r--test/schur_real.cpp75
1 files changed, 75 insertions, 0 deletions
diff --git a/test/schur_real.cpp b/test/schur_real.cpp
new file mode 100644
index 000000000..77ef5e2dc
--- /dev/null
+++ b/test/schur_real.cpp
@@ -0,0 +1,75 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. Eigen itself is part of the KDE project.
+//
+// Copyright (C) 2010 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 <Eigen/Eigenvalues>
+
+template<typename MatrixType> void verifyIsQuasiTriangular(const MatrixType& T)
+{
+ const int size = T.cols();
+ typedef typename MatrixType::Scalar Scalar;
+ typedef typename NumTraits<Scalar>::Real RealScalar;
+
+ // The "zeros" in the real Schur decomposition are only approximately zero
+ RealScalar norm = T.norm();
+
+ // Check T is lower Hessenberg
+ for(int row = 2; row < size; ++row) {
+ for(int col = 0; col < row - 1; ++col) {
+ VERIFY_IS_MUCH_SMALLER_THAN(T(row,col), norm);
+ }
+ }
+
+ // Check that any non-zero on the subdiagonal is followed by a zero and is
+ // part of a 2x2 diagonal block with imaginary eigenvalues.
+ for(int row = 1; row < size; ++row) {
+ if (!test_ei_isMuchSmallerThan(T(row,row-1), norm)) {
+ VERIFY(row == size-1 || test_ei_isMuchSmallerThan(T(row+1,row), norm));
+ Scalar tr = T(row-1,row-1) + T(row,row);
+ Scalar det = T(row-1,row-1) * T(row,row) - T(row-1,row) * T(row,row-1);
+ VERIFY(4 * det > tr * tr);
+ }
+ }
+}
+
+template<typename MatrixType> void schur(int size = MatrixType::ColsAtCompileTime)
+{
+ // Test basic functionality: T is quasi-triangular and A = U T U*
+ for(int counter = 0; counter < g_repeat; ++counter) {
+ MatrixType A = MatrixType::Random(size, size);
+ RealSchur<MatrixType> schurOfA(A);
+ MatrixType U = schurOfA.matrixU();
+ MatrixType T = schurOfA.matrixT();
+ verifyIsQuasiTriangular(T);
+ VERIFY_IS_APPROX(A, U * T * U.transpose());
+ }
+}
+
+void test_schur_real()
+{
+ CALL_SUBTEST_1(( schur<Matrix4f>() ));
+ CALL_SUBTEST_2(( schur<MatrixXd>(ei_random<int>(1,50)) ));
+ CALL_SUBTEST_3(( schur<Matrix<float, 1, 1> >() ));
+ CALL_SUBTEST_4(( schur<Matrix<double, 3, 3, Eigen::RowMajor> >() ));
+}