Lagrange Multipliers in Locally Convex Spaces

IF 1.6 3区 数学 Q2 MATHEMATICS, APPLIED
Mohammed Bachir, Joël Blot
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引用次数: 0

Abstract

We give a general Lagrange multiplier rule for mathematical programming problems in a Hausdorff locally convex space. We consider infinitely many inequality and equality constraints. Our results gives in particular a generalisation of the result of Jahn (Introduction to the theory of nonlinear optimization, Springer, Berlin, 2007), replacing Fréchet-differentiability assumptions on the functions by the Gateaux-differentiability. Moreover, the closed convex cone with a nonempty interior in the constraints is replaced by a strictly general class of closed subsets introduced in the paper and called “admissible sets”. Examples illustrating our results are given.

局部凸空间中的拉格朗日乘数
我们给出了豪斯多夫局部凸空间中数学程序设计问题的一般拉格朗日乘法规则。我们考虑了无限多的不等式和等式约束。我们的结果尤其是对 Jahn(《非线性优化理论导论》,施普林格出版社,柏林,2007 年)的结果的概括,用 Gateaux-differentiability 代替了对函数的 Fréchet-differentiability 假设。此外,约束条件中具有非空内部的封闭凸锥被本文引入的一类严格意义上的封闭子集所取代,该类子集被称为 "可容许集"。本文举例说明了我们的结果。
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
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.
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