In this study, a convex proximal point algorithm (CPPA) is considered for solving constrained non-convex problems, and new theoretical results are proposed. It proved that every cluster of CPPA stationary point, the initial key to global optimization. Several sufficient conditions selection provided find minimum. Motivated by these results, numerical experiments were conducted on quadratic prog...
