IMHO opaque C objects may be accessed from Python, it just needs an implementation
On 29 January 2024 22:51:48 GMT, Nils Bruin <nbr...@sfu.ca> wrote: >By the looks of it, the routines you'd be using would be coming from >umfpack. cvxopt has chosen to package the details of LU factorization in >opaque objects and instead offer routines to use these decompositions (via >taking the opaque object as input). In scipy, umfpack is also used: >https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.spsolve.html#scipy.sparse.linalg.spsolve > >. Scipy also offers LU decomposition routines: >https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.splu.html#scipy.sparse.linalg.splu > >but that uses a different library. It looks suspicious that two packages >offer umfpack for solving sparse problems, but don't give explicit access >to LU factorizations produced in the process, when using UMFPACK. Perhaps >UMFPACK isn't suited to provide the explicit factorization (but it may be >very good at using its internally computed data). > > > >-- >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/b852bb80-ffe9-44bd-b104-74e1bfdac9e2n%40googlegroups.com. -- 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/76DE5B84-DBEF-4F45-B11E-C9004A1F107E%40gmail.com.
