CMS/CAIMS Books in Mathematics is a collection of monographs and graduatelevel
textbooks published in cooperation jointly with the Canadian Mathematical Society-Societé …

This series includes titles in applied mathematics and statistics for cross-disciplinary STEM
professionals, educators, researchers, and students. The series focuses on new and …

This paper is devoted to a systematic study and characterizations of the fundamental notions
of variational and strong variational convexity for lower semicontinuous functions. While …

This paper proposes and develops inexact proximal methods for finding stationary points of
the sum of a smooth function and a nonsmooth weakly convex one, where an error is …

The paper is devoted to the study, characterizations, and applications of variational
convexity of functions, the property that has been recently introduced by Rockafellar together …

This book provides a novel approach to convex analysis and convex optimization, based on
subdifferential calculus of pointwise suprema of convex functions. The main goal in writing …

The paper proposes and develops a novel inexact gradient method (IGD) for minimizing C 1-
smooth functions with Lipschitzian gradients, ie for problems of C 1, 1 optimization. We show …

The paper is devoted to a systematic study and characterizations of notions of local maximal
monotonicity and their strong counterparts for set-valued operators that appear in variational …

Differentiable structure ensures that many of the basics of classical convex analysis extend
naturally from Euclidean space to Riemannian manifolds. Without such structure, however …

In this paper, we perform optimality conditions and sensitivity analysis for parametric
nonconvex minimax programming problems. Our aim is to study the necessary optimality …