Convergence of ZH-type nonmonotone descent method for Kurdyka-Łojasiewicz optimization problems

Fuente: arXiv
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Auteurs principaux: Qian, Yitian, Tao, Ting, Pan, Shaohua, Qi, Houduo
Format: Preprint
Publié: 2024
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author Qian, Yitian
Tao, Ting
Pan, Shaohua
Qi, Houduo
author_facet Qian, Yitian
Tao, Ting
Pan, Shaohua
Qi, Houduo
contents We propose a novel iterative framework for minimizing a proper lower semicontinuous Kurdyka-Łojasiewicz (KL) function $Φ$. It comprises a Zhang-Hager (ZH-type) nonmonotone decrease condition and a relative error condition. Hence, the sequence generated by the ZH-type nonmonotone descent methods will fall within this framework. Any sequence conforming to this framework is proved to converge to a critical point of $Φ$. If in addition $Φ$ has the KL property of exponent $θ\!\in(0,1)$ at the critical point, the convergence has a linear rate for $θ\in(0,1/2]$ and a sublinear rate of exponent $\frac{1-θ}{1-2θ}$ for $θ\in(1/2,1)$. To the best of our knowledge, this is the first work to establish the full convergence of the iterate sequence generated by a ZH-type nonmonotone descent method for nonconvex and nonsmooth optimization problems. The obtained results are also applied to achieve the full convergence of the iterate sequences produced by the proximal gradient method and Riemannian gradient method with the ZH-type nonmonotone line-search.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05740
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Convergence of ZH-type nonmonotone descent method for Kurdyka-Łojasiewicz optimization problems
Qian, Yitian
Tao, Ting
Pan, Shaohua
Qi, Houduo
Optimization and Control
90C26, 65K05, 49M27
We propose a novel iterative framework for minimizing a proper lower semicontinuous Kurdyka-Łojasiewicz (KL) function $Φ$. It comprises a Zhang-Hager (ZH-type) nonmonotone decrease condition and a relative error condition. Hence, the sequence generated by the ZH-type nonmonotone descent methods will fall within this framework. Any sequence conforming to this framework is proved to converge to a critical point of $Φ$. If in addition $Φ$ has the KL property of exponent $θ\!\in(0,1)$ at the critical point, the convergence has a linear rate for $θ\in(0,1/2]$ and a sublinear rate of exponent $\frac{1-θ}{1-2θ}$ for $θ\in(1/2,1)$. To the best of our knowledge, this is the first work to establish the full convergence of the iterate sequence generated by a ZH-type nonmonotone descent method for nonconvex and nonsmooth optimization problems. The obtained results are also applied to achieve the full convergence of the iterate sequences produced by the proximal gradient method and Riemannian gradient method with the ZH-type nonmonotone line-search.
title Convergence of ZH-type nonmonotone descent method for Kurdyka-Łojasiewicz optimization problems
topic Optimization and Control
90C26, 65K05, 49M27
url https://arxiv.org/abs/2406.05740