activity
20092023
most citedA class of asymptotic preserving schemes for kinetic equations and related problems with stiff sources

357 citations · 875 across the 60 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

math.OC2020★ 5 cited

A consensus-based global optimization method with adaptive momentum estimation

Jingrun Chen, Shi Jin, Liyao Lyu

Objective functions in large-scale machine-learning and artificial intelligence applications often live in high dimensions with strong non-convexity and massive local minima. First…

math.NA2020★ 134 cited

On the Random Batch Method for second order interacting particle systems

Shi Jin, Lei Li, Yiqun Sun

We investigate several important issues regarding the Random Batch Method (RBM) for second order interacting particle systems. We first show the uniform-in-time strong convergence…

physics.comp-ph2020★ 6 cited

A random batch Ewald method for particle systems with Coulomb interactions

Shi Jin, Lei Li, Zhenli Xu +1

We develop a random batch Ewald (RBE) method for molecular dynamics simulations of particle systems with long-range Coulomb interactions, which achieves an complexity in eac…

physics.comp-ph2020★ 3 cited

Random Batch Algorithms for Quantum Monte Carlo simulations

Shi Jin, Xiantao Li

Random batch algorithms are constructed for quantum Monte Carlo simulations. The main objective is to alleviate the computational cost associated with the calculations of two-body…

math.PR2020

On the mean field limit of the Random Batch Method for interacting particle systems

Shi Jin, Lei Li

The Random Batch Method proposed in our previous work [Jin et al., J. Comput. Phys., 400(1), 2020] is not only a numerical method for interacting particle systems and its mean-fiel…

math.NA2020★ 6 cited

Convergence of Random Batch Method for interacting particles with disparate species and weights

Shi Jin, Lei Li, Jian-Guo Liu

We consider in this work the convergence of Random Batch Method proposed in our previous work [Jin et al., J. Comput. Phys., 400(1), 2020] for interacting particles to the case of…

math.OC2020★ 2 cited

Convergence and error estimates for time-discrete consensus-based optimization algorithms

Seug-Yeal Ha, Shi Jin, Doheon Kim

We present convergence and error estimates of the time-discrete consensus-based optimization(CBO) algorithms proposed in [arXiv:1909.09249] for general nonconvex functions. In auth…

math.OC2020★ 1 cited

Boundary Control of Vlasov--Fokker--Planck Equations

Michael Herty, Shi Jin, Yuhua Zhu

We introduce a novel Lyapunov function for stabilization of linear Vlasov--Fokker--Planck type equations with stiff source term. Contrary to existing results relying on transport p…