I tried using that but I am unable to access the factors. I asked them( CVXOPT <https://groups.google.com/g/cvxopt/c/L3Pcyh8uHOM/m/aFQQx8M0AAAJ>) about this. For now I am falling back to Scipy implementation. But it ( scipy.sparse.linalg.splu <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.splu.html#scipy-sparse-linalg-splu>) handles square sparse matrix only.
On Friday, January 19, 2024 at 4:04:37 PM UTC+5:30 Animesh Shree wrote: > Thank You I am looking into it > > On Friday, January 19, 2024 at 3:43:29 PM UTC+5:30 Dima Pasechnik wrote: > >> On Fri, Jan 19, 2024 at 9:35 AM 'Animesh Shree' via sage-devel >> <sage-...@googlegroups.com> wrote: >> > >> > I have been looking into sparse matrix LU decomposition issue. >> > >> > In that conversation SuiteSparse is proposed to handle sparse matrix >> decomposition. >> > >> > What I could find that it is mostly C and Matlab. I don't know where it >> has been used before in sage. There is doc present on site. >> >> I've just left a comment there - copying here just in case: >> >> suitesparse is best reached via a Sage package cvxopt. >> https://cvxopt.org/userguide/spsolvers.html#cvxopt.umfpack.numeric >> says you can get LU factorisation of sparse matrices there. >> >> Dima >> > -- 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/15508cfd-117f-485d-b7bc-684b83669f60n%40googlegroups.com.
