40 citations · 209 across the 49 of their papers we have counts for
6 papers · 1 filter
The Shakhov model near a global Maxwellian
Gi-Chan Bae, Seok-Bae Yun
Shakhov model is a relaxation approximation of the Boltzmann equation proposed to overcome the deficiency of the original BGK model, namely, the incorrect production of the Prandtl…
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…
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…
Relativistic BGK model for massless particles in the FLRW spacetime
Byung-Hoon Hwang, Ho Lee, Seok-Bae Yun
In this paper, we address the Cauchy problem for the relativistic BGK model proposed by Anderson and Witting for massless particles in the Friedmann-Lemaitre-Robertson-Walker (FLRW…
On a relativistic BGK model for polyatomic gases near equilibrium
Byung-Hoon Hwang, Tommaso Ruggeri, Seok-Bae Yun
Recently, a novel relativistic polyatomic BGK model was suggested by Pennisi and Ruggeri [J. of Phys. Conf. Series, 1035, (2018)] to overcome drawbacks of the Anderson-Witting mode…