4 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
A unified framework for distributed optimization algorithms over time-varying directed graphs
Woocheol Choi, Doheon Kim, Seok-Bae Yun
In this paper, we propose a framework under which the decentralized optimization algorithms suggested in \cite{JKJJ,MA, NO,NO2} can be treated in a unified manner. More precisely,…
Convergence results of a nested decentralized gradient method for non-strongly convex problems
Woocheol Choi, Doheon Kim, Seok-Bae Yun
We are concerned with the convergence of NEAR-DGD (Nested Exact Alternating Recursion Distributed Gradient Descent) method introduced to solve the distributed optimization prob…
Convergence analysis of the discrete consensus-based optimization algorithm with random batch interactions and heterogeneous noises
Dongnam Ko, Seung-Yeal Ha, Shi Jin +1
We present stochastic consensus and convergence of the discrete consensus-based optimization (CBO) algorithm with random batch interactions and heterogeneous external noises. Despi…
Entropy production estimate for the ES-BGK model with the correct Prandtl number
Doheon Kim, Myeong-Su Lee, Seok-Bae Yun
In this paper, we establish the entropy-entropy production estimate for the ES-BGK model, a generalized version of the BGK model of the Boltzmann equation introduced for better app…