Kurdyka-Łojasiewicz inequality and error bounds of D-Gap functions for nonsmooth and nonmonotone variational inequality problems

Abstract In this paper, we study regularized/D-gap functions associated with a nonsmooth and nonmonotone variational inequality problem. We present some exact formulas for the subderivative, the regular subdifferential, and the limiting subdifferential of the regularized/D-gap functions respectively. By virtue of these formulas, we provide some sufficient conditions and necessary conditions for the Kurdyka-Łojasiewicz inequality property and the error bound property for the D-gap function respectively. As an application of our Kurdyka-Łojasiewicz inequality result, we show that, under certain mild assumptions, the sequence generated by a derivative-free descent algorithm with an inexact line search converges linearly to a solution of the variational inequality problem.

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Publication Details

Journal
Journal of Global Optimization
Published
2025-10-24
DOI
https://doi.org/10.1007/s10898-025-01558-6
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Kurdyka-Łojasiewicz inequality and error bounds of D-Gap functions for nonsmooth and nonmonotone variational inequality problems

Xiaoqi Yang, Kaiwen Meng, Minghua Li
Journal of Global Optimization
Optimization and Variational Analysis
article

Kurdyka-Łojasiewicz inequality and error bounds of D-Gap functions for nonsmooth and nonmonotone variational inequality problems

Xiaoqi Yang, Kaiwen Meng, Minghua Li
article en

Abstract

Abstract In this paper, we study regularized/D-gap functions associated with a nonsmooth and nonmonotone variational inequality problem. We present some exact formulas for the subderivative, the regular subdifferential, and the limiting subdifferential of the regularized/D-gap functions respectively. By virtue of these formulas, we provide some sufficient conditions and necessary conditions for the Kurdyka-Łojasiewicz inequality property and the error bound property for the D-gap function respectively. As an application of our Kurdyka-Łojasiewicz inequality result, we show that, under certain mild assumptions, the sequence generated by a derivative-free descent algorithm with an inexact line search converges linearly to a solution of the variational inequality problem.

Journal of Global OptimizationVol. 93(3)
Hong Kong Polytechnic University (HK), Chongqing University (CN), Southwestern University of Finance and Economics (CN), Chongqing University of Arts and Sciences (CN)
National Natural Science Foundation of China, Hong Kong Polytechnic University, Natural Science Foundation of Chongqing, Chongqing Municipal Education Commission, Centre Scientifique et Technique du Bâtiment
Openalex Percentile: Top 68%
Optimization and Variational Analysis
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