IIRC, spare division requires b to be a dense vector. However, I don't suppose there's a reason Julia can't do the conversion. Open an issue, and if someone has a reason it isn't a good idea, they'll say so and close it. (you are welcome to still reply and/or reopen it at that point too). As Andreas mentioned, it helps if you can include a complete snippet of code that can be pasted into the terminal to repeat the issue
On Mon, Apr 14, 2014 at 2:11 AM, Andreas Noack Jensen <[email protected]> wrote: > Hi Kai > > Welcome to Julia and thank you for reporting the problem. It is good > practice to include an example that can be copy-pasted into the terminal. It > makes it easier to investigate the problem. Please also provide the output > from versioninfo(). > > > 2014-04-14 3:32 GMT+02:00 coolzai <[email protected]>: > >> Hi, >> I have two sparse matrix. For example A = sparse(i,j,v); b = >> sparse(2,1,-1,10,1); >> >> I want to solve the equation Ax = b... when I try to do that: A\b, it >> will return error: >> >> ERROR: no method >> A_ldiv_B!(SparseMatrixCSC{Float64,Int64},SparseMatrixCSC{Int64,Int64}) >> >> in \ at linalg/generic.jl:108 >> >> >> I was wondering how can I solve the linear equation? >> >> >> Thanks >> >> Kai > > > > > -- > Med venlig hilsen > > Andreas Noack Jensen
