Hi,
> > 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. Sparse matrices have many application in numerics when dealing with very large matrices. Sometimes the matrix would not even fit into memory as a full matrix. And there is no point in storing 99% zeros in any case. However, I wonder what are the applications of sparse matrices in *symbolic* computations? For example I see why we might want sparse (multivariate) polynomials. But I'm not sure if in linear algebra the matrices with *symbolic entries* we handle ever are large enough such that the sparsity pays off? Please do not count this as a -1 on the recent efforts implementing sparse stuff in sympy. -- 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.
