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20052026
most citedKinetic formulation and global existence for the Hall-Magneto-hydrodynamics system

209 citations · 1.4k across the 114 of their papers we have counts for

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18 papers · 1 filter

math.NA2023

High-order Moment Closure Models with Random Batch Method for Efficient Computation of Multiscale Turbulent Systems

Di Qi, Jian-Guo Liu

We propose a high-order stochastic-statistical moment closure model for efficient ensemble prediction of leading-order statistical moments and probability density functions in mult…

math.NA2023

Diffusion approximations of Oja's online principal component analysis

Jian-Guo Liu, Zibu Liu

Oja's algorithm of principal component analysis (PCA) has been one of the methods utilized in practice to reduce dimension. In this paper, we focus on the convergence property of t…

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…

math.NA2020★ 8 cited

Projection method for droplet dynamics on groove-textured surface with merging and splitting

Yuan Gao, Jian-Guo Liu

The geometric motion of small droplets placed on an impermeable textured substrate is mainly driven by the capillary effect, the competition among surface tensions of three phases…

math.NA2020★ 2 cited

Some random batch particle methods for the Poisson-Nernst-Planck and Poisson-Boltzmann equations

Lei Li, Jian-Guo Liu, Yijia Tang

We consider in this paper random batch interacting particle methods for solving the Poisson-Nernst-Planck (PNP) equations, and thus the Poisson-Boltzmann (PB) equation as the equil…

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.NA2020★ 5 cited

Gradient flow formulation and second order numerical method for motion by mean curvature and contact line dynamics on rough surface

Yuan Gao, Jian-Guo Liu

We study the dynamics of a droplet moving on an inclined rough surface in the absence of inertial and viscous stress effects. In this case, the dynamics of the droplet is a purely…

math.NA2019★ 1 cited

A structure preserving numerical scheme for Fokker-Planck equations of neuron networks: numerical analysis and exploration

Jingwei Hu, Jian-Guo Liu, Yantong Xie +1

In this work, we are concerned with the Fokker-Planck equations associated with the Nonlinear Noisy Leaky Integrate-and-Fire model for neuron networks. Due to the jump mechanism at…

math.NA2019★ 1 cited

A discretization of Caputo derivatives with application to time fractional SDEs and gradient flows

Lei Li, Jian-Guo Liu

We consider a discretization of Caputo derivatives resulted from deconvolving a scheme for the corresponding Volterra integral. Properties of this discretization, including signs o…

math.NA2018★ 7 cited

Random batch methods (RBM) for interacting particle systems

Shi Jin, Lei Li, Jian-Guo Liu

We develop Random Batch Methods for interacting particle systems with large number of particles. These methods use small but random batches for particle interactions, thus the comp…

math.NA2018★ 2 cited

Large time behaviors of upwind schemes by jump processes

Lei Li, Jian-Guo Liu

We revisit the traditional upwind schemes for linear conservation laws in the viewpoint of jump processes, allowing studying upwind schemes using probabilistic tools. In particular…

math.NA2017

On Runge-Kutta methods for the water wave equation and its simplified nonlocal hyperbolic model

Lei Li, Jian-Guo Liu, Zibu Liu +2

There is a growing interest in investigating numerical approximations of the water wave equation in recent years, whereas the lack of rigorous analysis of its time discretization i…

math.NA2017★ 31 cited

An accurate front capturing scheme for tumor growth models with a free boundary limit

Jian-Guo Liu, Min Tang, Li Wang +1

We consider a class of tumor growth models under the combined effects of density-dependent pressure and cell multiplication, with a free boundary model as its singular limit when t…

math.NA2017★ 1 cited

Sensitivity analysis of Burgers' equation with shocks

Qin Li, Jian-Guo Liu, Ruiwen Shu

Generalized polynomial chaos (gPC) method has been extensively used in uncertainty quantification problems where equations contain random variables. For gPC to achieve high accurac…

math.NA2016

Positivity-preserving and asymptotic preserving method for 2D Keller-Segal equations

Jian-Guo Liu, Li Wang, Zhennan Zhou

We propose a semi-discrete scheme for 2D Keller-Segel equations based on a symmetrization reformation, which is equivalent to the convex splitting method and is free of any nonline…

math.NA2016

Explicit and implicit TVD schemes for conservation laws with Caputo derivatives

Jian-Guo Liu, Zheng Ma, Zhennan Zhou

In this paper, we investigate numerical approximations of the scalar conservation law with the Caputo derivative, which introduces the memory effect. We construct the first order a…

math.NA2009

Analysis of an asymptotic preserving scheme for linear kinetic equations in the diffusion limit

Jian-Guo Liu, Luc Mieussens

We present a mathematical analysis of the asymptotic preserving scheme proposed in [M. Lemou and L. Mieussens, SIAM J. Sci. Comput., 31, pp. 334-368, 2008] for linear transport equ…

math.NA2007

Generalized monotone schemes, discrete paths of extrema, and discrete entropy conditions

Philippe G. LeFloch, Jian-Guo Liu

Solutions to conservation laws satisfy the monotonicity property: the number of local extrema is a non-increasing function of time, and local maximum/minimum values decrease/increa…