指数条件下求解金融投资组合优化中的分数向量类变分不等式问题的等效分数优化问题

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED
Shubham Singh, Shalini
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引用次数: 0

摘要

介绍并研究了一类新的弱分数阶向量类变分不等式和分数阶向量类变分不等式。在广义指数假设下,用参数方法建立了分数阶优化问题的有效解与引入不等式的解之间的等价性。利用KKM引理,证明了一类分数向量类变分不等式问题解的存在性。文中还用实例说明了所得结果。此外,我们在投资组合分配中考虑了一个基于应用程序的问题来验证我们的发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An equivalent fractional optimization problem under invexity conditions for solving fractional vector variational-like inequality problems to portfolio optimization in finance
This paper introduces and investigates new classes of weak fractional vector variational-like inequalities and fractional vector variational-like inequalities. We establish an equivalence between the efficient solutions of fractional optimization problems and the solutions of introduced inequalities using a parametric approach under generalized invexity assumptions. By applying the KKM Lemma, we prove the existence of solutions for a fractional vector variational-like inequality problem. We also illustrate the derived results with examples. Additionally, we consider an application-based problem in portfolio allocation to validate our findings.
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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