Right - this is basically an outcome of the design and data structures. Nothing matlab related. You have to do all this in octave, scipy, etc. We can try new data structures in packages, but this is pretty much the norm.
Nobody does a good job of documenting it. I am also open to ideas. Best to discuss in the issue opened. -viral > On 08-Jan-2015, at 2:06 am, Stefan Karpinski <[email protected]> wrote: > > I'm having flashbacks to all kinds of crazy Matlab sparse matrix hacking... > > On Wed, Jan 7, 2015 at 3:07 PM, Miles Lubin <[email protected]> wrote: > It may be more efficient (given the current implementation) to filter the I, > J, and V arrays directly and then call sparse() again. > > > On Wednesday, January 7, 2015 12:48:31 PM UTC-7, Christoph Ortner wrote: > > Thanks for your replies - I will write a short piece of code that shows the > performance problem, and then submit an issue. > Christoph > > P.S: I do use sparse(I,J,V) to construct the matrix, but I am then unable to > extract a sub matrix because the slicing is so slow. >
