A new feasible moving ball projection algorithm for pseudomonotone variational inequalities
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Business, Management and Accounting (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s11590-023-02053-1.pdf
Reference50 articles.
1. Anh, P.N.: New outer proximal methods for solving variational inequality problems. J. Optim. Theory Appl. (2023). https://doi.org/10.1007/s10957-023-02202-7
2. Anceschi, F., Barbagallo, A., Guarino Lo Bianco, S.: Inverse tensor variational inequalities and applications. J. Optim. Theory Appl. 196(2), 570–589 (2023)
3. Auslender, A., Shefi, R., Teboulle, M.: A moving balls approximation method for a class of smooth constrained minimization problems. SIAM J. Optim. 20(6), 3232–3259 (2010)
4. Barbu, V., Röckner, M.: Stochastic variational inequalities and applications to the total variation flow perturbed by linear multiplicative noise. Arch. Ration. Mech. Anal. 209(3), 797–834 (2013)
5. Bauschke, H.H., Combettes, P.L.: Convex Analysis and Monotone Operator Theory in Hilbert Spaces, vol. 408. Springer, New York (2011)
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