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Relax tolerance when testing LDLT on singular problems

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This commit is contained in:
Gael Guennebaud 2015-06-15 15:08:16 +02:00
parent 2212e40e95
commit 3946c981b1
1 changed files with 14 additions and 1 deletions
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15
test/cholesky.cpp
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@ -225,7 +225,20 @@ template<typename MatrixType> void cholesky(const MatrixType& m)
ldltlo.compute(A); ldltlo.compute(A);
VERIFY_IS_APPROX(A, ldltlo.reconstructedMatrix()); VERIFY_IS_APPROX(A, ldltlo.reconstructedMatrix());
vecX = ldltlo.solve(vecB); vecX = ldltlo.solve(vecB);
VERIFY_IS_APPROX(A * vecX, vecB);
if(ldltlo.vectorD().real().cwiseAbs().minCoeff()>RealScalar(0))
{
VERIFY_IS_APPROX(A * vecX,vecB);
}
else
{
RealScalar large_tol = std::sqrt(test_precision<RealScalar>());
VERIFY((A * vecX).isApprox(vecB, large_tol));
++g_test_level;
VERIFY_IS_APPROX(A * vecX,vecB);
--g_test_level;
}
} }
} }