On Some Characterizations of General s-Convex Functions
Musavvir Ali, Ehtesham Akhter

TL;DR
This paper introduces and characterizes a new class of general s-convex functions and sets, exploring their fundamental properties and applications in optimization problems.
Contribution
It defines general s-convex functions and sets, analyzes their properties, and establishes optimality criteria in unconstrained and constrained programming.
Findings
General s-convex functions form a new class of generalized convex functions.
Fundamental properties of general s-convex functions are discussed.
Sufficient optimality criteria are established for various programming problems.
Abstract
It is established that general s-convex functions are a new class of generalized convex functions. In a similar vein, a new class of general s-convex sets is introduced, which are generalizations of s-convex sets. Additionally, certain fundamental characteristics of general s-convex functions are discussed for both general cases and differentiable situations. Aside from that, the general s-convexity is used to define and demonstrate the sufficient criteria for optimality for both unconstrained and inequality-constrained programming.
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Taxonomy
TopicsOptimization and Variational Analysis · Optimization and Mathematical Programming · Multi-Criteria Decision Making
