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20242026
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math.NA2026

Temporal-Stability-Enhanced and Energy-Stable Dynamical Low-Rank Approximation for Multiscale Linear Kinetic Transport Equations

Shun Li, Yan Jiang, Mengping Zhang +1

In this paper, we develop an asymptotic-preserving dynamical low-rank method for the multiscale linear kinetic transport equation. The proposed scheme is unconditionally stable in…

math.NA2025

Structure-preserving nodal DG method for Euler equations with gravity II: general equilibrium states

Yuchang Liu, Wei Guo, Yan Jiang +1

We develop an entropy-stable nodal discontinuous Galerkin (DG) scheme for the Euler equations with gravity, which is also well-balanced with respect to general equilibrium solution…

math.NA2025

Inverse Lax-Wendroff boundary treatment for solving conservation laws with finite difference HWENO methods

Guangyao Zhu, Yan Jiang, Zhuang Zhao +1

This paper presents a novel inverse Lax-Wendroff (ILW) boundary treatment for finite difference Hermite weighted essentially non-oscillatory (HWENO) schemes to solve hyperbolic con…

math.NA2025

Structure-preserving nodal DG method for the Euler equations with gravity: well-balanced, entropy stable, and positivity preserving

Yuchang Liu, Wei Guo, Yan Jiang +1

We propose an entropy stable and positivity preserving discontinuous Galerkin (DG) scheme for the Euler equations with gravity, which is also well-balanced for hydrostatic equilibr…

math.NA2025

A globally divergence-free entropy stable nodal DG method for conservative ideal MHD equations

Yuchang Liu, Wei Guo, Yan Jiang +1

We propose an arbitrarily high-order globally divergence-free entropy stable nodal discontinuous Galerkin (DG) method to directly solve the conservative form of the ideal MHD equat…

math.NA2024

Non-oscillatory entropy stable DG schemes for hyperbolic conservation law

Yuchang Liu, Wei Guo, Yan Jiang +1

In this paper, we propose a class of non-oscillatory, entropy-stable discontinuous Galerkin (NOES-DG) schemes for solving hyperbolic conservation laws. By incorporating a specific…