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Optimization
A Journal of Mathematical Programming and Operations Research
Volume 71, 2022 - Issue 13
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Research Article

Inertial modified projection algorithm with self-adaptive technique for solving pseudo-monotone variational inequality problems in Hilbert spaces

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Pages 3965-3980 | Received 22 Aug 2020, Accepted 16 Apr 2021, Published online: 21 May 2021
 

Abstract

For solving pseudo-monotone variational inequality problems in Hilbert spaces, we introduce a new algorithm with self-adaptive technique. The algorithm is based on the projection method and inertial method. The strong convergence theorem is established under some appropriate conditions. Finally, we provide some numerical experiments to illustrate the effectiveness and advantages of the proposed algorithm.

2010 Mathematics Subject Classifications:

Acknowledgments

The authors are grateful to the referees for useful suggestions which improved the contents of this paper.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China [No. 2019ASP-TJ02].

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