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math.NA2025

A Locally Divergence-Free Local Characteristic Decomposition Based Path-Conservative Central-Upwind Scheme for Ideal Magnetohydrodynamics

Shaoshuai Chu, Alexander Kurganov, Maria Lukacova-Medvidova +1

We introduce a locally divergence-free local characteristic decomposition based path-conservative central-upwind (LCD-PCCU) scheme for ideal magnetohydrodynamics (MHD) equations. T…

math.NA2025

Novel Adaptive Schemes for Hyperbolic Conservation Laws

Shaoshuai Chu, Pingyao Feng, Vadim A. Kolotilov +2

We introduce new adaptive schemes for the one- and two-dimensional hyperbolic systems of conservation laws. Our schemes are based on an adaption strategy recently introduced in [{\…

math.NA2025

Flux Globalization Based Well-Balanced Path-Conservative Central-Upwind Schemes for Shallow Water Linearized Moment Equations

Yangyang Cao, Qian Huang, Julian Koellermeier +2

We develop second-order path-conservative central-upwind (PCCU) schemes for the hyperbolic shallow water linearized moment equations (HSWLME), which are an extension of standard de…

math.NA2025

Numerical Analysis of Stabilization for Random Hyperbolic Systems of Conservation Laws

Shaoshuai Chu, Michael Herty, Alexander Kurganov

This paper extends the deterministic Lyapunov-based stabilization framework to random hyperbolic systems of conservation laws, where uncertainties arise in boundary controls and in…

math.NA2025

Central-Upwind Scheme for the Phase-Transition Traffic Flow Model

Shaoshuai Chu, Alexander Kurganov, Saeed Mohammadian +1

Phase-transition models are an important family of non-equilibrium continuum traffic flow models, offering properties like replicating complex traffic phenomena, maintaining anisot…

math.NA2025

New More Efficient A-WENO Schemes

Shaoshuai Chu, Alexander Kurganov, Ruixiao Xin

We develop new more efficient A-WENO schemes for both hyperbolic systems of conservation laws and nonconservative hyperbolic systems. The new schemes are a very simple modification…