GitHub-Proxy/eigen
1
0
Fork 0
mirror of https://gitlab.com/libeigen/eigen.git synced 2025-08-12 11:49:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

Fix testing of nearly zero input matrices.

Browse Source
This commit is contained in:
Gael Guennebaud 2016-07-26 14:46:02 +02:00
parent c9e3e438eb
commit fd2f989b1d
1 changed files with 24 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
test/eigensolver_selfadjoint.cpp
View File

@ -23,8 +23,18 @@ template<typename MatrixType> void selfadjointeigensolver_essential_check(const
SelfAdjointEigenSolver<MatrixType> eiSymm(m); SelfAdjointEigenSolver<MatrixType> eiSymm(m);
VERIFY_IS_EQUAL(eiSymm.info(), Success); VERIFY_IS_EQUAL(eiSymm.info(), Success);
VERIFY_IS_APPROX(m.template selfadjointView<Lower>() * eiSymm.eigenvectors(),
eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal()); RealScalar scaling = m.cwiseAbs().maxCoeff();
if(scaling<(std::numeric_limits<RealScalar>::min)())
{
VERIFY(eiSymm.eigenvalues().cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
}
else
{
VERIFY_IS_APPROX((m.template selfadjointView<Lower>() * eiSymm.eigenvectors())/scaling,
(eiSymm.eigenvectors() * eiSymm.eigenvalues().asDiagonal())/scaling);
}
VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues()); VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiSymm.eigenvalues());
VERIFY_IS_UNITARY(eiSymm.eigenvectors()); VERIFY_IS_UNITARY(eiSymm.eigenvectors());
@ -33,7 +43,6 @@ template<typename MatrixType> void selfadjointeigensolver_essential_check(const
SelfAdjointEigenSolver<MatrixType> eiDirect; SelfAdjointEigenSolver<MatrixType> eiDirect;
eiDirect.computeDirect(m); eiDirect.computeDirect(m);
VERIFY_IS_EQUAL(eiDirect.info(), Success); VERIFY_IS_EQUAL(eiDirect.info(), Success);
VERIFY_IS_APPROX(eiSymm.eigenvalues(), eiDirect.eigenvalues());
if(! eiSymm.eigenvalues().isApprox(eiDirect.eigenvalues(), eival_eps) ) if(! eiSymm.eigenvalues().isApprox(eiDirect.eigenvalues(), eival_eps) )
{ {
std::cerr << "reference eigenvalues: " << eiSymm.eigenvalues().transpose() << "\n" std::cerr << "reference eigenvalues: " << eiSymm.eigenvalues().transpose() << "\n"
@ -41,10 +50,18 @@ template<typename MatrixType> void selfadjointeigensolver_essential_check(const
<< "diff: " << (eiSymm.eigenvalues()-eiDirect.eigenvalues()).transpose() << "\n" << "diff: " << (eiSymm.eigenvalues()-eiDirect.eigenvalues()).transpose() << "\n"
<< "error (eps): " << (eiSymm.eigenvalues()-eiDirect.eigenvalues()).norm() / eiSymm.eigenvalues().norm() << " (" << eival_eps << ")\n"; << "error (eps): " << (eiSymm.eigenvalues()-eiDirect.eigenvalues()).norm() / eiSymm.eigenvalues().norm() << " (" << eival_eps << ")\n";
} }
VERIFY(eiSymm.eigenvalues().isApprox(eiDirect.eigenvalues(), eival_eps)); if(scaling<(std::numeric_limits<RealScalar>::min)())
VERIFY_IS_APPROX(m.template selfadjointView<Lower>() * eiDirect.eigenvectors(), {
eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal()); VERIFY(eiDirect.eigenvalues().cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues(), eiDirect.eigenvalues()); }
else
{
VERIFY_IS_APPROX(eiSymm.eigenvalues()/scaling, eiDirect.eigenvalues()/scaling);
VERIFY_IS_APPROX((m.template selfadjointView<Lower>() * eiDirect.eigenvectors())/scaling,
(eiDirect.eigenvectors() * eiDirect.eigenvalues().asDiagonal())/scaling);
VERIFY_IS_APPROX(m.template selfadjointView<Lower>().eigenvalues()/scaling, eiDirect.eigenvalues()/scaling);
}
VERIFY_IS_UNITARY(eiDirect.eigenvectors()); VERIFY_IS_UNITARY(eiDirect.eigenvectors());
} }
} }