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Normalize eigenvectors returned by EigenSolver (fixes bug #249)

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because the documentation says that we do this.
Also, add a unit test to cover this.
This commit is contained in:
Jitse Niesen 2011-04-15 17:39:59 +01:00
parent e654405900
commit c9b5531d6c
2 changed files with 2 additions and 0 deletions
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1
Eigen/src/Eigenvalues/EigenSolver.h
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@ -343,6 +343,7 @@ typename EigenSolver<MatrixType>::EigenvectorsType EigenSolver<MatrixType>::eige
{
// we have a real eigen value
matV.col(j) = m_eivec.col(j).template cast<ComplexScalar>();
matV.col(j).normalize();
}
else
{

1
test/eigensolver_generic.cpp
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@ -61,6 +61,7 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
VERIFY_IS_APPROX(a * ei1.pseudoEigenvectors(), ei1.pseudoEigenvectors() * ei1.pseudoEigenvalueMatrix());
VERIFY_IS_APPROX(a.template cast<Complex>() * ei1.eigenvectors(),
ei1.eigenvectors() * ei1.eigenvalues().asDiagonal());
VERIFY_IS_APPROX(ei1.eigenvectors().colwise().norm(), RealVectorType::Ones(rows).transpose());
VERIFY_IS_APPROX(a.eigenvalues(), ei1.eigenvalues());
EigenSolver<MatrixType> eiNoEivecs(a, false);