Analysis of two versions of relaxed inertial algorithms with Bregman divergences for solving variational inequalities

Author:

Jolaoso Lateef Olakunle,Sunthrayuth Pongsakorn,Cholamjiak Prasit,Cho Yeol Je

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Reference58 articles.

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

2. Amid E, Warmuth M K, Anil R, Koren T (2019) Robust bi-tempered logistic loss based on Bregman divergences. In: Conference on neural information processing systems, pp 14987–14996

3. Anh PK, Thong DV, Vinh NT (2020) Improved inertial extragradient methods for solving pseudomonotone variational inequalities. Optimization. https://doi.org/10.1080/02331934.2019.1616191

4. Antipin AS (1976) On a method for convex programs using a symmetrical modification of the Lagrange function. Ekonomika i Matematicheskie Metody 12:1164–1173

5. Banerjee A, Merugu S, Dhillon IS, Ghosh J (2005) Clustering with Bregman divergences. J Mach Learn Res 6:1705–1749

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