Generalized Sequential Normal Compactness and Weak Differentiabilities

IF 1.6 3区数学 Q2 MATHEMATICS, APPLIED

Journal of Optimization Theory and Applications Pub Date : 2024-06-03 DOI:10.1007/s10957-024-02463-w

Bingwu Wang, Xinmin Yang, Pujun Long

引用次数: 0

Abstract

We study the generalized sequential normal compactness in variational analysis and establish characterizations of the property of graphs of weakly differentiable mappings between Banach spaces, as well as calculus rules involving such functions.

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广义序列法向紧凑性和弱微分性

我们研究了变分分析中的广义顺序法紧凑性，并建立了巴拿赫空间间弱微分映射图的特性，以及涉及此类函数的微积分规则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Optimization Theory and Applications 数学-应用数学

CiteScore

3.30

自引率

5.30%

发文量

149

审稿时长

9.9 months

期刊介绍： The Journal of Optimization Theory and Applications is devoted to the publication of carefully selected regular papers, invited papers, survey papers, technical notes, book notices, and forums that cover mathematical optimization techniques and their applications to science and engineering. Typical theoretical areas include linear, nonlinear, mathematical, and dynamic programming. Among the areas of application covered are mathematical economics, mathematical physics and biology, and aerospace, chemical, civil, electrical, and mechanical engineering.