Hi, I(with the help of Chris) have recently merged in two functions that convert Dictionary of Keys(DOK) representation to Compressed Row Format(CSR) format and vice versa. [1].
Since I don't actually know much about the applications of sparse matrices in domains like Computer Science, Physics, Mathematics etc., I wanted to discuss following issues with people-- 1. What are the applications of Sparse Matrices. 2. Where does CSR representation have advantage over DOK representation. I now know that CSR takes less space than DOK. Can others please tell me some other advantages? 4. Which operations can be optimised with the help of CSR representation. By optimised, I mean making it's order of growth of running time smaller. 3. Do we need another data representation for Vectors? Perhaps not, but do other CAS have a vector data representation? -Saurabh [1] https://github.com/sympy/sympy/pull/2169 -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To post to this group, send email to sympy@googlegroups.com. Visit this group at http://groups.google.com/group/sympy. For more options, visit https://groups.google.com/groups/opt_out.
