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Ngày đăng: 04/11/2025

Báo cáo viên: Vũ Hồng Quân Thời gian: 9h ngày 5/11/2025 Địa điểm: P 412, VP Khoa Toán-Tin

Tên báo cáo: Nonsmooth Nearly Convex Optimization Problems and Applications in Robustness

Tóm tắt: This paper deals with nearly convex optimization problems in the face of data uncertainty within the framework of robust optimization. Namely, we investigate optimality conditions for nonsmooth robust optimization problems with nearly convex data. To do so, we first examine the rule for computing the subdifferential of maximum nearly convex functions. As an application we study an optimization problem under uncertainty where the involved functions are nearly convex and derive necessary conditions for solutions of the corresponding strictly robust counterpart problem. These are the main results of this paper.

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