works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

math.NA2026

FORCE- Numerical Fluxes within the Arbitrary High Order Semidiscrete WENO-DeC Framework: A Competitive Alternative to Upwind Fluxes

Lorenzo Micalizzi, Eleuterio Toro

The paper evaluates FORCE‑α centered numerical fluxes within a high‑order finite‑volume WENO‑DeC framework for the Euler equations, demonstrating that they can perform competitivel…

math.NA2026

New Adaptive Numerical Methods Based on Dual Formulation of Hyperbolic Conservation Laws

Alina Chertock, Qingcheng Fu, Alexander Kurganov +1

In this paper, we propose an adaptive high-order method for hyperbolic systems of conservation laws. The proposed method is based on a dual formulation approach: Two numerical solu…

math.NA2025

Dual Formulation Finite-Volume Methods on Overlapping Meshes for Hyperbolic Conservation Laws

Rémi Abgrall, Alina Chertock, Alexander Kurganov +1

In this work, we introduce new second-order schemes for one- and two-dimensional hyperbolic systems of conservation laws. Following an approach recently proposed in [{\sc R. Abgral…

math.NA2025

Algorithms of very high space-time orders of accuracy for hyperbolic equations in the semidiscrete WENO-DeC framework

Lorenzo Micalizzi, Eleuterio F. Toro

In this work, we provide a deep investigation of a family of arbitrary high order numerical methods for hyperbolic partial differential equations (PDEs), with particular emphasis o…

math.NA2025

New Smoothness Indicator Within an Active Flux Framework

Alina Chertock, Alexander Kurganov, Lorenzo Micalizzi

In this work, we introduce a new smoothness indicator (SI), which is capable of detecting ``rough'' parts of the solutions computed by active flux (AF) methods for hyperbolic (syst…

math.NA2025

Impact of Numerical Fluxes on High Order Semidiscrete WENO-DeC Finite Volume Schemes

Lorenzo Micalizzi, Eleuterio F. Toro

The numerical flux determines the performance of numerical methods for solving hyperbolic partial differential equations (PDEs). In this work, we compare a selection of 8 numerical…