As Dima points out, SPLU decomposition is probably more useful in practice, so it's great to expose it. It should probably be exposed through a different method than PLU decomposition, though.
For the return format: permutations are much more compact and efficient to describe permutations than permutation matrices. Also because of the parent: a permutation matrix is a {0,1}-valued matrix so it can be well represented over ZZ, rather than floats. So primarily the routine should expose that scipy exposes. Whether other bells and whistles are required is another matter. Is this only for system floats/complex numbers? or will you also be implementing multiprecision versions? -- You received this message because you are subscribed to the Google Groups "sage-devel" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-devel+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sage-devel/f680547f-33dc-4c43-be78-6f54ed11e798n%40googlegroups.com.