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 <[email protected]>: > (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
