Hi, I am wondering if there's some way to speed up the process of solving linear equations for a lot unknowns (200+). For Current I just apply solve() directly over 200+ linear equations and let it solve for the unknowns, e.g., solve([2c_0 + 2c_1 + 3= 0 , 4.2c_0 + 5c_1 + 1 = 0 ... ] , solution_dict=True). This takes lots of time when I have hundreds of equations with hundreds of unknowns c_i.
I do know that most (over 70%) of the unknown coefficients will be 0 and most of the non-zero coefficients will be related. That is, among the non-zero coefficients, some of them will get independent values r_i and other non-zero coefficients will depend on these. For example, c_10 = r1 , c_9 = 2*r1+3 , c_8=r2 , c_1 = 1/2*r2 . Given these information, is there something that I can do to speed up the process ? Could I use some special data structure, sparse matrix or something ? -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at http://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/groups/opt_out.
