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

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Showing 2019Show all

10 papers · 1 filter

math.NA2019

The Vlasov-Fokker-Planck Equation with High Dimensional Parametric Forcing Term

Shi Jin, Yuhua Zhu, Enrique Zuazua

We consider the Vlasov-Fokker-Planck equation with random electric field where the random field is parametrized by countably many infinite random variables due to uncertainty. At t…

math.OC2019★ 4 cited

Convergence of a first-order consensus-based global optimization algorithm

Seung-Yeal Ha, Shi Jin, Doheon Kim

Global optimization of a non-convex objective function often appears in large-scale machine-learning and artificial intelligence applications. Recently, consensus-based optimizatio…

math.NA2019

An Uncertainty Quantification Approach to the Study of Gene Expression Robustness

Pierre Degond, Shi Jin, Yuhua Zhu

We study a chemical kinetic system with uncertainty modeling a gene regulatory network in biology. Specifically, we consider a system of two equations for the messenger RNA and mic…

math.NA2019★ 2 cited

Error estimate of a bi-fidelity method for kinetic equations with random parameters and multiple scales

Irene M. Gamba, Shi Jin, Liu Liu

In this paper, we conduct uniform error estimates of the bi-fidelity method for multi-scale kinetic equations. We take the Boltzmann and the linear transport equations as important…

math.OC2019★ 11 cited

A consensus-based global optimization method for high dimensional machine learning problems

José A. Carrillo, Shi Jin, Lei Li +1

We improve recently introduced consensus-based optimization method, proposed in [R. Pinnau, C. Totzeck, O. Tse and S. Martin, Math. Models Methods Appl. Sci., 27(01):183--204, 2017…

math.AP2019★ 1 cited

On the multi-species Boltzmann equation with uncertainty and its stochastic Galerkin approximation

Esther S. Daus, Shi Jin, Liu Liu

In this paper the nonlinear multi-species Boltzmann equation with random uncertainty coming from the initial data and collision kernel is studied. Well-posedness and long-time beha…

math.CA2019

Collective dynamics of opposing groups with stochastic communication

Shi Jin, Ruiwen Shu

We propose models describing the collective dynamics of two opposing groups of individuals with stochastic communication. Individuals from the same group are assumed to align in a…

math.NA2019★ 22 cited

On the Convergence of Time Splitting Methods for Quantum Dynamics in the Semiclassical Regime

François Golse, Shi Jin, Thierry Paul

By using the pseudo-metric introduced in [F. Golse, T. Paul: Archive for Rational Mech. Anal. 223 (2017) 57-94], which is an analogue of the Wasserstein distance of exponent be…

math.AP2019

Sharp Decay Estimates in Local Sensitivity Analysis for Evolution Equations with Uncertainties: from ODEs to Linear Kinetic Equations

Anton Arnold, Shi Jin, Tobias Wöhrer

We review the Lyapunov functional method for linear ODEs and give an explicit construction of such functionals that yields sharp decay estimates, including an extension to defectiv…

math.NA2019★ 2 cited

Gaussian wave packet transform based numerical scheme for the semi-classical Schrödinger equation with random inputs

Shi Jin, Liu Liu, Giovanni Russo +1

In this work, we study the semi-classical limit of the Schrödinger equation with random inputs, and show that the semi-classical Schrödinger equation produces osci…