Hi,
is there a nice way of computing the kernel of a real matrix in eigen2? The kernel() method of the LU class does not give satisfactory results.
The documentation states, that the svd class should be used to compute the kernel, however the svd in eigen2 does only compute a thin version of the U matrix. Maybe I am missing something.

Thanks in advance

What about migrating to Eigen3 ?