cr.sparse.opt.cg.solve_from_jit

cr.sparse.opt.cg.solve_from_jit(A, b, x_0, max_iters=None, res_norm_rtol=0.0001)

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