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authorGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2010-05-31 18:17:47 +0100
committerGravatar Jitse Niesen <jitse@maths.leeds.ac.uk>2010-05-31 18:17:47 +0100
commit8dc947821b3b64f754cdce1b7d8141885ed5ecd0 (patch)
treee99b4229732dca52fd2da32ffbed38b1c3b34076 /test/eigensolver_complex.cpp
parent609941380aad2883ab0facc44aaaee4736f15ef3 (diff)
Allow user to compute only the eigenvalues and not the eigenvectors.
Diffstat (limited to 'test/eigensolver_complex.cpp')
-rw-r--r--test/eigensolver_complex.cpp24
1 files changed, 16 insertions, 8 deletions
diff --git a/test/eigensolver_complex.cpp b/test/eigensolver_complex.cpp
index 1440cd700..3285d26c2 100644
--- a/test/eigensolver_complex.cpp
+++ b/test/eigensolver_complex.cpp
@@ -2,6 +2,7 @@
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+// 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
@@ -66,7 +67,10 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
// 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());
-
+
+ ComplexEigenSolver<MatrixType> eiNoEivecs(a, false);
+ VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues());
+
// Regression test for issue #66
MatrixType z = MatrixType::Zero(rows,cols);
ComplexEigenSolver<MatrixType> eiz(z);
@@ -76,11 +80,15 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
}
-template<typename MatrixType> void eigensolver_verify_assert()
+template<typename MatrixType> void eigensolver_verify_assert(const MatrixType& m)
{
ComplexEigenSolver<MatrixType> eig;
- VERIFY_RAISES_ASSERT(eig.eigenvectors())
- VERIFY_RAISES_ASSERT(eig.eigenvalues())
+ VERIFY_RAISES_ASSERT(eig.eigenvectors());
+ VERIFY_RAISES_ASSERT(eig.eigenvalues());
+
+ MatrixType a = MatrixType::Random(m.rows(),m.cols());
+ eig.compute(a, false);
+ VERIFY_RAISES_ASSERT(eig.eigenvectors());
}
void test_eigensolver_complex()
@@ -92,10 +100,10 @@ void test_eigensolver_complex()
CALL_SUBTEST_4( eigensolver(Matrix3f()) );
}
- CALL_SUBTEST_1( eigensolver_verify_assert<Matrix4cf>() );
- CALL_SUBTEST_2( eigensolver_verify_assert<MatrixXcd>() );
- CALL_SUBTEST_3(( eigensolver_verify_assert<Matrix<std::complex<float>, 1, 1> >() ));
- CALL_SUBTEST_4( eigensolver_verify_assert<Matrix3f>() );
+ CALL_SUBTEST_1( eigensolver_verify_assert(Matrix4cf()) );
+ CALL_SUBTEST_2( eigensolver_verify_assert(MatrixXcd(14,14)) );
+ CALL_SUBTEST_3( eigensolver_verify_assert(Matrix<std::complex<float>, 1, 1>()) );
+ CALL_SUBTEST_4( eigensolver_verify_assert(Matrix3f()) );
// Test problem size constructors
CALL_SUBTEST_5(ComplexEigenSolver<MatrixXf>(10));