On approximate efficient solutions of nonsmooth minimax programming problems involving inequality and equality constraints with applications

This paper focuses on optimality conditions/duality theorems for -quasi solutions of nonsmooth minimax programming problems involving inequality and equality constraints.The main results obtained in this paper are the extensions of the results in Chuong and Kim [Ann.

Publication Details

Journal
Journal of Applied and Numerical Optimization
Published
2025-01-01
DOI
https://doi.org/10.23952/jano.7.2025.2.06
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

On approximate efficient solutions of nonsmooth minimax programming problems involving inequality and equality constraints with applications

Journal of Applied and Numerical Optimization
Optimization and Variational Analysis
article

On approximate efficient solutions of nonsmooth minimax programming problems involving inequality and equality constraints with applications

article en

Abstract

This paper focuses on optimality conditions/duality theorems for -quasi solutions of nonsmooth minimax programming problems involving inequality and equality constraints.The main results obtained in this paper are the extensions of the results in Chuong and Kim [Ann.

Journal of Applied and Numerical OptimizationVol. 7(2)
Reduced inequalities
Openalex Percentile: Top 80%
Optimization and Variational Analysis
DOIOpen Access PDFOpenAlex
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On approximate efficient solutions of nonsmooth minimax programming problems involving inequality and equality constraints with applications · Journal of Applied and Numerical Optimization (2025) | TGRS Research Map | TGRS