| [eigen] inverse unit test |
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- To: Eigen <eigen@xxxxxxxxxxxxxxxxxxx>
- Subject: [eigen] inverse unit test
- From: Hauke Heibel <hauke.heibel@xxxxxxxxxxxxxx>
- Date: Thu, 10 Jun 2010 00:43:43 +0200
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On MSVC the inverse unit test fails here:
//Second: a rank one matrix (not invertible, except for 1x1 matrices)
VectorType v3 = VectorType::Random(rows);
MatrixType m3 = v3*v3.transpose(), m4(rows,cols);
m3.computeInverseAndDetWithCheck(m4, det, invertible);
VERIFY( rows==1 ? invertible : !invertible );
VERIFY_IS_APPROX(det, m3.determinant());
m3.computeInverseWithCheck(m4, invertible);
VERIFY( rows==1 ? invertible : !invertible );
We expect a determinant of 0 since the matrix is not invertible and
then this check fails
VERIFY_IS_APPROX(det, m3.determinant());
VERIFY_IS_APPROX will always fail in case one of the two parameters is
zero and in case both values are small it is likely to fail as well
because
abs(x-y) <= min(abs(x),abs(y)) * 1e-3
here, we take the minimal value and make it even smaller.
Here are some nice comparison methods we might try to adapt:
http://www.boost.org/doc/libs/1_32_0/boost/test/floating_point_comparison.hpp
- Hauke