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Discrete optimization in partially ordered sets

机译:部分排序集中的离散优化

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The primary aim of this article is to resolve a global optimization problem in the setting of a partially ordered set that is equipped with a metric. Indeed, given non-empty subsets A and B of a partially ordered set that is endowed with a metric, and a non-self mapping S : A → B, this paper discusses the existence of an optimal approximate solution, designated as a best proximity point of the mapping S, to the equation Sx = x, where S is a proximally increasing, ordered proximal contraction. An algorithm for determining such an optimal approximate solution is furnished. Further, the result established in this paper realizes an interesting fixed point theorem in the setting of partially ordered set as a special case.
机译:本文的主要目的是解决配备度量标准的部分有序集的设置中的全局优化问题。确实,给定赋予度量的部分有序集的非空子集A和B以及非自我映射S:A→B,本文讨论了最优近似解的存在,称为最佳接近映射S的点到方程Sx = x,其中S是近端增加的,有序的近端收缩。提供了一种用于确定这种最佳近似解的算法。此外,本文建立的结果在部分有序集的设置中作为特殊情况实现了一个有趣的不动点定理。

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