A modified inertial proximal minimization algorithm for structured nonconvex and nonsmooth problem

We introduce an enhanced inertial proximal minimization algorithm tailored for a category of structured nonconvex and nonsmooth optimization problems. The objective function in question is an aggregation of a smooth function with an associated linear operator, a nonsmooth function dependent on an in...

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Vydané v:	Journal of inequalities and applications Ročník 2024; číslo 1; s. 124 - 23
Hlavní autori:	Xue, Zhonghui, Ma, Qianfeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 20.09.2024 Springer Nature B.V SpringerOpen
Predmet:	Algorithms Analysis Applications of Mathematics Approximation Dependent variables Independent variables Kurdyka–Łojasiewicz property Linear operators Mathematics Mathematics and Statistics Nonconvex-nonsmooth optimization Optimization Parameter modification Proximal minimization algorithm Weak inertial 49K99 Kurdyka–Łojasiewicz property 49J53 Nonconvex-nonsmooth optimization Weak inertial Proximal minimization algorithm
ISSN:	1029-242X, 1025-5834, 1029-242X
On-line prístup:	Získať plný text
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