Acta mathematica scientia,Series A ›› 2023, Vol. 43 ›› Issue (2): 593-603.

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Inertial Projection Algorithms for Quasimonotone Variational Inequalities

Yang Lanxiang(),Chen Yi(),Ye Minglu()   

  1. Sichuan Colleges and Universities Key Laboratory of Optimization Theory and Applications, School of Mathematics and Information, China West Normal University, Sichuan Nanchong 637009
  • Received:2022-01-23 Revised:2022-05-27 Online:2023-04-26 Published:2023-04-17
  • Supported by:
    NSFC(11871059);Cultivation project of China West Normal University(20A024);Innovation and Entrepreneurship training Program for university students of China west normal university(cxcy2022027)

Abstract:

In 2020, Liu and Yang proposed a projection algorithm (LY for short) for solving quasimonotone variational inequality in Hilbert Space. In this paper, by taking a new inertia coefficient, we present an inertial technique to accelerate LY. Under the same assumptions, the global weak convergence of the sequence generated by this algorithm is obtained. Numerical experiments show that the new algorithm can accelerate LY from the point view of iterate number steps and the point view of CPU time cost by taking suitable parameters.

Key words: Variational inequality, Projection algorithm, Quasimonotone, Inertial method

CLC Number: 

  • O221
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