Given a gsl_matrix *
A object, which is an M-by-N matrix, what is the easiest way to find the kernel of A? I tried using singular value decomposition (specifically the gsl_linalg_SV_decomp
method), but that doesn't work when M<N, which is sometimes the case for my matrices.
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rhashimoto
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Izzhov
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The easiest way (if you are restricted to that library) would be to pad your matrix with rows of zeros to N x N, which you can then pass to your function. The padded matrix will have the same null space.

rhashimoto
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