cr.sparse.opt.cg.solve

cr.sparse.opt.cg.solve(A, b, max_iters=None, res_norm_rtol=0.0001)

Solves the problem \(Ax = b\) for a symmetric positive definite \(A\) via conjugate gradients iterations.