AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Two-Step Inertial Bregman-Tseng Method for Non-Monotone Variational Inequality Problems in Reflexive Banach Spaces
In this paper, we introduce a novel two-step inertial Bregman--Tseng algorithm for solving non-monotone variational inequality problems in reflexive Banach spaces. The proposed method combines a two-step inertial extrapolation scheme with a Bregman forward-backward-forward (Tseng-type) framework, leading to a computati...
A Unified Iterative Algorithm for Variational-like Inequalities and Fixed Point Problems in Banach Space with Applications to Image Denoising
This paper introduces and analyzes an inertial projection iterative scheme for solving combined generalized general variational-like inequality problem (CGGVLIP), the zero problem associated with a γ-inverse strongly monotone mapping, and the common fixed-point problem of a finite family of relatively nonexpansive mapp...