Near Convexity and Generalized Differentiation
Nguyen Mau Nam, Nguyen Nang Thieu, Nguyen Dong Yen

TL;DR
This paper introduces nearly convex set-valued mappings, explores their fundamental properties, and develops a geometric approach for their generalized differentiation, expanding the theoretical framework of nearly convex analysis.
Contribution
It presents new results on nearly convex set-valued mappings and a geometric method for their generalized differentiation, advancing the understanding of nearly convex analysis.
Findings
Introduction of nearly convex set-valued mappings
Development of a geometric approach for generalized differentiation
New theoretical results on nearly convex functions and sets
Abstract
In this paper, we introduce the concept of nearly convex set-valued mappings and investigate fundamental properties of these mappings. Additionally, we establish a geometric approach for generalized differentiation of nearly convex set-valued mappings and nearly convex functions. Our contributions expand the current knowledge of nearly convex sets and functions, while providing several new results pertaining to nearly convex set-valued mappings.
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Taxonomy
TopicsOptimization and Variational Analysis · Functional Equations Stability Results · Advanced Optimization Algorithms Research
