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author | Jitse Niesen <jitse@maths.leeds.ac.uk> | 2010-05-24 17:43:50 +0100 |
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committer | Jitse Niesen <jitse@maths.leeds.ac.uk> | 2010-05-24 17:43:50 +0100 |
commit | e7d809d4349fd4048777be71f1c803d0b13f8fe8 (patch) | |
tree | 11c1ef9908d0756958fde6c29de7f1f16d5dc639 /test/eigensolver_complex.cpp | |
parent | 8a3f552e39d3fee3ada1cfc1eb75b179c77f2a78 (diff) |
Update eigenvalues() and operatorNorm() methods in MatrixBase.
* use SelfAdjointView instead of Eigen2's SelfAdjoint flag.
* add tests and documentation.
* allow eigenvalues() for non-selfadjoint matrices.
* they no longer depend only on SelfAdjointEigenSolver, so move them to
a separate file
Diffstat (limited to 'test/eigensolver_complex.cpp')
-rw-r--r-- | test/eigensolver_complex.cpp | 23 |
1 files changed, 22 insertions, 1 deletions
diff --git a/test/eigensolver_complex.cpp b/test/eigensolver_complex.cpp index b3d9ac24b..5c5d7b38f 100644 --- a/test/eigensolver_complex.cpp +++ b/test/eigensolver_complex.cpp @@ -26,6 +26,21 @@ #include <Eigen/Eigenvalues> #include <Eigen/LU> +/* Check that two column vectors are approximately equal upto permutations, + by checking that the k-th power sums are equal for k = 1, ..., vec1.rows() */ +template<typename VectorType> +void verify_is_approx_upto_permutation(const VectorType& vec1, const VectorType& vec2) +{ + VERIFY(vec1.cols() == 1); + VERIFY(vec2.cols() == 1); + VERIFY(vec1.rows() == vec2.rows()); + for (int k = 1; k <= vec1.rows(); ++k) + { + VERIFY_IS_APPROX(vec1.array().pow(k).sum(), vec2.array().pow(k).sum()); + } +} + + template<typename MatrixType> void eigensolver(const MatrixType& m) { /* this test covers the following files: @@ -48,11 +63,17 @@ template<typename MatrixType> void eigensolver(const MatrixType& m) ComplexEigenSolver<MatrixType> ei1(a); VERIFY_IS_APPROX(a * ei1.eigenvectors(), ei1.eigenvectors() * ei1.eigenvalues().asDiagonal()); - + // Note: If MatrixType is real then a.eigenvalues() uses EigenSolver and thus + // another algorithm so results may differ slightly + verify_is_approx_upto_permutation(a.eigenvalues(), ei1.eigenvalues()); + // Regression test for issue #66 MatrixType z = MatrixType::Zero(rows,cols); ComplexEigenSolver<MatrixType> eiz(z); VERIFY((eiz.eigenvalues().cwiseEqual(0)).all()); + + MatrixType id = MatrixType::Identity(rows, cols); + VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1)); } void test_eigensolver_complex() |