collaborators

5 papers

math.NA2026

Structure-Preserving Reduced-Order Modeling via Low-Rank Transport Signatures

Jiajia Yu, Jingwei Hu, Fengyan Li +3

Parametrized PDEs with density-valued solutions are often difficult to approximate with classical linear reduced-order models, especially in transport-dominated regimes. We introdu…

math.NA2026

A separable and asymptotic-preserving dynamical low-rank method for the Vlasov-Poisson-Fokker-Planck system

Shiheng Zhang, Jingwei Hu

We present a dynamical low-rank (DLR) method for the Vlasov-Poisson-Fokker-Planck (VPFP) system. Our main contributions are two-fold: (i) a conservative spatial discretization of t…

math.NA2026

Implicit Dynamical Tensor Train Approximation for Kinetic Equations with Stiff Fokker--Planck Collisions

Geshuo Wang, Jingwei Hu

Low-rank methods for kinetic equations have attracted increasing attention due to their effectiveness in reducing the high dimensionality of phase space. In our previous work [G. W…

math.NA2026

On the stability of the low-rank projector-splitting integrators for hyperbolic and parabolic equations

Shiheng Zhang, Jingwei Hu

We study the stability of a class of dynamical low-rank methods--the projector-splitting integrator (PSI)--applied to linear hyperbolic and parabolic equations. Using a von Neumann…

math.NA2025

Asymptotic-Preserving Dynamical Low-Rank Method for the Stiff Nonlinear Boltzmann Equation

Lukas Einkemmer, Jingwei Hu, Shiheng Zhang

In kinetic theory, numerically solving the full Boltzmann equation is extremely expensive. This is because the Boltzmann collision operator involves a high-dimensional, nonlinear i…