Entropy Stable Nodal Discontinuous Galerkin Methods via Quadratic Knapsack Limiting

Lin, Chan (High order entropy stable discontinuous Galerkin spectral element methods through subcell limiting, 2024) enforces a cell entropy inequality for nodal discontinuous Galerkin methods by combining flux corrected transport (FCT)-type limiting and a knapsack solver, which determines optimal limiting coefficients that result in a semi-discrete cell entropy inequality while preserving nodal bounds. In this work, we provide a slight modification of this approach, where we utilize a quadratic knapsack problem instead of a standard linear knapsack problem. We prove that this quadratic knapsack problem can be reduced to efficient scalar root-finding. Numerical results demonstrate that the proposed quadratic knapsack limiting strategy is efficient and results in a semi-discretization with improved regularity in time compared with linear knapsack limiting, while resulting in fewer adaptive timesteps in shock-type problems.

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Publication Details

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ArXiv.org
Published
2025-07-19
Primary Topic
Advanced Numerical Methods in Computational Mathematics
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article
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article

Entropy Stable Nodal Discontinuous Galerkin Methods via Quadratic Knapsack Limiting

Jesse Chan, Brian Christner
ArXiv.org
Advanced Numerical Methods in Computational Mathematics
article

Entropy Stable Nodal Discontinuous Galerkin Methods via Quadratic Knapsack Limiting

Jesse Chan, Brian Christner
article en

Abstract

Lin, Chan (High order entropy stable discontinuous Galerkin spectral element methods through subcell limiting, 2024) enforces a cell entropy inequality for nodal discontinuous Galerkin methods by combining flux corrected transport (FCT)-type limiting and a knapsack solver, which determines optimal limiting coefficients that result in a semi-discrete cell entropy inequality while preserving nodal bounds. In this work, we provide a slight modification of this approach, where we utilize a quadratic knapsack problem instead of a standard linear knapsack problem. We prove that this quadratic knapsack problem can be reduced to efficient scalar root-finding. Numerical results demonstrate that the proposed quadratic knapsack limiting strategy is efficient and results in a semi-discretization with improved regularity in time compared with linear knapsack limiting, while resulting in fewer adaptive timesteps in shock-type problems.

ArXiv.org
Openalex Percentile: Top 59%
Advanced Numerical Methods in Computational Mathematics
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