A new nonmonotone spectral projected gradient algorithm for box-constrained optimization problems in m×n real matrix space with application in image clustering

Box-constrained optimization problems in the real m×n matrix space have been widely applied in big data mining. However, efficient solution of them is still a challenge. In this paper, a new nonmonotone line search rule is first proposed by extending the well-known ones and inheriting their advantag...

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Vydané v:	Journal of computational and applied mathematics Ročník 438; s. 115563
Hlavní autori:	Li, Ting, Wan, Zhong, Guo, Jie
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2024
Predmet:	Algorithms Convergence Line search Optimization Line search 90C30 65K05 Algorithms Optimization Convergence
ISSN:	0377-0427, 1879-1778
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