The Chambolle-Pock method converges weakly with and
arXiv:2604.06423
Abstract
The Chambolle-Pock method, also known as the primal-dual hybrid gradient method, is a standard first-order algorithm for convex-concave saddle-point problems and composite convex optimization. We establish weak sequential convergence of its primal-dual iterates in real Hilbert spaces for every whenever . This extends the weak-convergence theory to a previously unexplored range of extrapolation parameters.