Some of this functionality might be available by accessing CHOLMOD types and functions, but they aren't fully exported, documented, etc. Last time I tried to use these it looked like there were some memory leaks as well.
On Sunday, April 27, 2014 12:50:47 PM UTC-7, Andreas Noack Jensen wrote: > > This is not possible right now, but it is on my todo list to generalise > the Hermitian type to allow e.g. sparse matrices. > > > 2014-04-27 21:42 GMT+02:00 Dominique Orban <dominiq...@gmail.com<javascript:> > >: > >> (I hope this isn't a RTFM. I saw something in the manual about hermitian >> matrices related to Lapack, so it only seemed to be dense.) >> >> Is there provision for hermitian *sparse* matrices in Julia, in the >> sense that if A is "declared" hermitian, only its lower (or upper) triangle >> is stored and A*x does the right thing? That's always been missing from >> Matlab, and would be an important feature to have. In smooth optimization, >> most operators end up being symmetric (e.g., Hessians, or KKT matrices). >> >> Thanks. >> > > > > -- > Med venlig hilsen > > Andreas Noack Jensen >
