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math.OC2026★ 2 cited
Fast Gradient Algorithm with Dry-like Friction and Nonmonotone Line Search for Nonconvex Optimization Problems
Lien T. Nguyen, Andrew Eberhard, Xinghuo Yu +1
In this paper, we propose a fast gradient algorithm for the problem of minimizing a differentiable (possibly nonconvex) function in Hilbert spaces. We first extend the dry friction…
math.OC2023
Extended Zero-Gradient-Sum Approach for Constrained Distributed Optimization with Free Initialization
Xinli Shi, Xinghuo Yu, Guanghui Wen +1
This paper proposes an extended zero-gradient-sum (EZGS) approach for solving constrained distributed optimization (DO) with free initialization. A Newton-based continuous-time alg…
math.OC2022★ 1 cited
Finite-Time Convergent Algorithms for Time-Varying Distributed Optimization
Xinli Shi, Guanghui Wen, Xinghuo Yu
This paper focuses on finite-time (FT) convergent distributed algorithms for solving time-varying (TV) distributed optimization (TVDO). The objective is to minimize the sum of loca…