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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_generic.cpp
parent609941380aad2883ab0facc44aaaee4736f15ef3 (diff)
Allow user to compute only the eigenvalues and not the eigenvectors.
Diffstat (limited to 'test/eigensolver_generic.cpp')
-rw-r--r--test/eigensolver_generic.cpp32
1 files changed, 20 insertions, 12 deletions
diff --git a/test/eigensolver_generic.cpp b/test/eigensolver_generic.cpp
index d70f37ea4..79c08ec31 100644
--- a/test/eigensolver_generic.cpp
+++ b/test/eigensolver_generic.cpp
@@ -2,6 +2,7 @@
// for linear algebra.
//
// Copyright (C) 2008 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
@@ -60,19 +61,26 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
VERIFY_IS_APPROX(a.eigenvalues(), ei1.eigenvalues());
+ EigenSolver<MatrixType> eiNoEivecs(a, false);
+ VERIFY_IS_APPROX(ei1.eigenvalues(), eiNoEivecs.eigenvalues());
+ VERIFY_IS_APPROX(ei1.pseudoEigenvalueMatrix(), eiNoEivecs.pseudoEigenvalueMatrix());
+
MatrixType id = MatrixType::Identity(rows, cols);
VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
}
-template<typename MatrixType> void eigensolver_verify_assert()
+template<typename MatrixType> void eigensolver_verify_assert(const MatrixType& m)
{
- MatrixType tmp;
-
EigenSolver<MatrixType> eig;
- VERIFY_RAISES_ASSERT(eig.eigenvectors())
- VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors())
- VERIFY_RAISES_ASSERT(eig.pseudoEigenvalueMatrix())
- VERIFY_RAISES_ASSERT(eig.eigenvalues())
+ VERIFY_RAISES_ASSERT(eig.eigenvectors());
+ VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors());
+ VERIFY_RAISES_ASSERT(eig.pseudoEigenvalueMatrix());
+ VERIFY_RAISES_ASSERT(eig.eigenvalues());
+
+ MatrixType a = MatrixType::Random(m.rows(),m.cols());
+ eig.compute(a, false);
+ VERIFY_RAISES_ASSERT(eig.eigenvectors());
+ VERIFY_RAISES_ASSERT(eig.pseudoEigenvectors());
}
void test_eigensolver_generic()
@@ -88,11 +96,11 @@ void test_eigensolver_generic()
CALL_SUBTEST_4( eigensolver(Matrix2d()) );
}
- CALL_SUBTEST_1( eigensolver_verify_assert<Matrix4f>() );
- CALL_SUBTEST_2( eigensolver_verify_assert<MatrixXd>() );
- CALL_SUBTEST_4( eigensolver_verify_assert<Matrix2d>() );
- CALL_SUBTEST_5( eigensolver_verify_assert<MatrixXf>() );
+ CALL_SUBTEST_1( eigensolver_verify_assert(Matrix4f()) );
+ CALL_SUBTEST_2( eigensolver_verify_assert(MatrixXd(17,17)) );
+ CALL_SUBTEST_3( eigensolver_verify_assert(Matrix<double,1,1>()) );
+ CALL_SUBTEST_4( eigensolver_verify_assert(Matrix2d()) );
// Test problem size constructors
- CALL_SUBTEST_6(EigenSolver<MatrixXf>(10));
+ CALL_SUBTEST_5(EigenSolver<MatrixXf>(10));
}