Hi,
I am new to using numba for linear algibra operations. I recently started looking into a problem where I have to invert matrix once (so I use scipy.sparse.linalg.splu) and then solve multiple rhs values. In the solver stage is there a way to increase the speed of solve() function of splu using numba? Or is the function already fully optimized.
Thanks.