Abstract:
A method for solving saddle-point and other problems is proposed whereby saddle points are found for a convex-concave continuously differentiable function with Lipschitz partial gradients defined on a convex closed subset of Euclidean space. The convergence of the method and its convergence rate estimate are proved using convex analysis tools without assuming that the function is strongly convex-concave.
This publication is cited in the following 1 articles:
V. G. Malinov, “Modified projection generalized two-point two-stage extragradient quasinewton method for saddle point problems”, Zhurnal SVMO, 26:2 (2024), 123–142