High-order well-balanced methods for systems of balance laws: a control-based approach
Irene G\'omez-Bueno, Manuel Jes\'us Castro D\'iaz, Carlos Par\'es

TL;DR
This paper introduces a general control-based framework for high-order well-balanced numerical methods for systems of balance laws, capable of preserving stationary solutions without explicit knowledge of those solutions.
Contribution
It extends existing strategies by interpreting the nonlinear reconstruction problems as control problems, enabling application to any system of balance laws.
Findings
Methods successfully preserve stationary solutions across various systems.
The control-based approach improves flexibility and applicability of well-balanced schemes.
Numerical tests demonstrate accuracy and efficiency of the proposed methods.
Abstract
In some previous works, two of the authors have introduced a strategy to develop high-order numerical methods for systems of balance laws that preserve all the stationary solutions of the system. The key ingredient of these methods is a well-balanced reconstruction operator. A strategy has been also introduced to modify any standard reconstruction operator like MUSCL, ENO, CWENO, etc. in order to be well-balanced. This strategy involves a non-linear problem at every cell at every time step that consists in finding the stationary solution whose average is the given cell value. So far this strategy has been only applied to systems whose stationary solution are known either in explicit or implicit form. The goal of this paper is to present a general implementation of this technique that can be applied to any system of balance laws. To do this, the nonlinear problems to be solved in the…
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