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Make test matrices for eigensolver/selfadjoint even more tricky

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This commit is contained in:
Gael Guennebaud 2015-05-12 18:44:46 +02:00
parent ef81730625
commit e66caf48e8
1 changed files with 18 additions and 4 deletions
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22
test/svd_fill.h
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@ -53,19 +53,35 @@ void svd_fill_random(MatrixType &m, int Option = 0)
VT.setRandom();
}
Matrix<Scalar,Dynamic,1> samples(7);
samples << 0, 5.60844e-313, -5.60844e-313, 4.94e-324, -4.94e-324, -1./NumTraits<RealScalar>::highest(), 1./NumTraits<RealScalar>::highest();
if(Option==Symmetric)
{
m = U * d.asDiagonal() * U.transpose();
// randomly nullify some rows/columns
{
Index count = internal::random<Index>(-1,1);
Index count = internal::random<Index>(-diagSize,diagSize);
for(Index k=0; k<count; ++k)
{
Index i = internal::random<Index>(0,diagSize-1);
m.row(i).setZero();
m.col(i).setZero();
}
if(count<0)
// (partly) cancel some coeffs
if(!(dup && unit_uv))
{
Index n = internal::random<Index>(0,m.size()-1);
for(Index k=0; k<n; ++k)
{
Index i = internal::random<Index>(0,m.rows()-1);
Index j = internal::random<Index>(0,m.cols()-1);
m(j,i) = m(i,j) = samples(internal::random<Index>(0,samples.size()-1));
}
}
}
}
else
@ -74,11 +90,9 @@ void svd_fill_random(MatrixType &m, int Option = 0)
// (partly) cancel some coeffs
if(!(dup && unit_uv))
{
Matrix<Scalar,Dynamic,1> samples(7);
samples << 0, 5.60844e-313, -5.60844e-313, 4.94e-324, -4.94e-324, -1./NumTraits<RealScalar>::highest(), 1./NumTraits<RealScalar>::highest();
Index n = internal::random<Index>(0,m.size()-1);
for(Index i=0; i<n; ++i)
m(internal::random<Index>(0,m.rows()-1), internal::random<Index>(0,m.cols()-1)) = samples(internal::random<Index>(0,6));
m(internal::random<Index>(0,m.rows()-1), internal::random<Index>(0,m.cols()-1)) = samples(internal::random<Index>(0,samples.size()-1));
}
}
}