In this paper we consider min-max convex semi-infinite programming. To solve these problems we introduce a unified framework concerning Remez-type algorithms and integral methods coupled with penalty ...
In this article, we explore the characterizations of ε-approximate solutions for convex semidefinite programming problems that involve uncertain data. It first reviews essential findings regarding the ...
Convex optimisation constitutes a fundamental area in applied mathematics where the objective is to identify the minimum of a convex function subject to a set of convex constraints. This framework ...
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