Convergence of Relaxed Inertial Subgradient Extragradient Methods for Quasimonotone Variational Inequality Problems-Reference-Cited by-同舟云学术

Convergence of Relaxed Inertial Subgradient Extragradient Methods for Quasimonotone Variational Inequality Problems

Published:2021-11-20 Issue:1 Volume:90 Page:
ISSN:0885-7474
Container-title:Journal of Scientific Computing
language:en
Short-container-title:J Sci Comput

Author:

Ogwo G. N.,Izuchukwu C.,Shehu Y.^ORCID,Mewomo O. T.

Funder

University of KwaZuluNatal (UKZN) Doctoral Scholarship

S& F-DSI/NRF Free Standing Postdoctoral Fellowship

European Union’s Seventh Framework Program

National Research Foundation (NRF) of South Africa Incentive Funding for Rated Researchers

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis

Link

https://link.springer.com/content/pdf/10.1007/s10915-021-01670-1.pdf

Reference52 articles.

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2. Alvarez, F., Attouch, H.: An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping. Set-Valued Anal. 9, 3–11 (2001)

3. Attouch, H., Cabot, A.: Convergence of a relaxed inertial proximal algorithm for maximally monotone operators. Math. Program. (2019). https://doi.org/10.1007/s10107-019-01412-0

4. Attouch, H., Cabot, A.: Convergence of a relaxed inertial forward-backward algorithm for structured monotone inclusions. Appl. Math. Optim. 80(3), 547–598 (2019)

5. Apostol, R.Y., Grynenko, A.A., Semenov, V.V.: Iterative algorithms for monotone bilevel variational inequalities. J. Comput. Appl Math. 107, 3–14 (2012)

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