Relatively Monotone and Relatively Generalized Monotone Maps in Nonsmooth Setting and Relative r-Monotonicity

IF 1.4 4区 数学 Q2 MATHEMATICS, APPLIED
Youness Alhabib Fajri
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引用次数: 0

Abstract

Abstract The aim of this article is twofold. First, we consider relatively monotone, relatively pseudomonotone, and relatively quasimonotone maps in nonsmooth setting. For continuous maps, we describe -monotonicity when the relative parameters are different and prove that -quasimonotonicity implies -quasimonotonicity as well as -pseudomonotonicity implies -pseudomonotonicity. Then, under local Lipschitzianity assumption, we establish first-order criteria for -monotonicity, -pseudomonotonicity, and -quasimonotonicity. Second, we introduce and study the new notion of relatively r-monotone operators. We provide characterizations and properties. We give in particular criteria of first order for relative r-monotonicity, in smooth and nonsmooth locally Lipschitz settings, when the relative parameters are equal.
非光滑环境下的相对单调和相对广义单调映射及相对r-单调性
摘要这篇文章的目的是双重的。首先,我们考虑非光滑环境中的相对单调、相对伪单调和相对拟单调映射。对于连续映射,当相对参数不同时,我们描述了-单调性,并证明了-拟单调性意味着-拟单调,以及-伪单调性暗示着-伪单调。然后,在局部Lipschitzianity假设下,我们建立了-单调性、-伪单调性和-拟单调性的一阶准则。其次,我们引入并研究了相对r单调算子的新概念。我们提供了特性和性质。在光滑和非光滑局部Lipschitz设置中,当相对参数相等时,我们给出了相对r单调性的一阶特殊准则。
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来源期刊
CiteScore
2.40
自引率
8.30%
发文量
74
审稿时长
6-12 weeks
期刊介绍: Numerical Functional Analysis and Optimization is a journal aimed at development and applications of functional analysis and operator-theoretic methods in numerical analysis, optimization and approximation theory, control theory, signal and image processing, inverse and ill-posed problems, applied and computational harmonic analysis, operator equations, and nonlinear functional analysis. Not all high-quality papers within the union of these fields are within the scope of NFAO. Generalizations and abstractions that significantly advance their fields and reinforce the concrete by providing new insight and important results for problems arising from applications are welcome. On the other hand, technical generalizations for their own sake with window dressing about applications, or variants of known results and algorithms, are not suitable for this journal. Numerical Functional Analysis and Optimization publishes about 70 papers per year. It is our current policy to limit consideration to one submitted paper by any author/co-author per two consecutive years. Exception will be made for seminal papers.
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