An approximation proximal gradient algorithm for nonconvex-linear minimax problems with nonconvex nonsmooth terms

Nonconvex minimax problems have attracted significant attention in machine learning, wireless communication and many other fields. In this paper, we propose an efficient approximation proximal gradient algorithm for solving a class of nonsmooth nonconvex-linear minimax problems with a nonconvex nons...

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Vydané v:	Journal of global optimization Ročník 90; číslo 1; s. 73 - 92
Hlavní autori:	He, Jiefei, Zhang, Huiling, Xu, Zi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.09.2024 Springer Springer Nature B.V
Predmet:	Algorithms Approximation Computer Science Convex analysis Convexity Machine learning Mathematics Mathematics and Statistics MIMO communications Minimax technique Operations Research/Decision Theory Optimization Real Functions Wireless communications Nonsmooth problem Iteration complexity 90C30 90C47 90C26 Nonconvex-linear minimax problem Approximation proximal gradient algorithm
ISSN:	0925-5001, 1573-2916
On-line prístup:	Získať plný text
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