New Smoothness Indicator Within an Active Flux Framework
Alina Chertock, Alexander Kurganov, Lorenzo Micalizzi

TL;DR
This paper introduces a new smoothness indicator for active flux methods in hyperbolic conservation laws, capable of detecting rough solution regions by measuring differences between solution sets, enhancing robustness and accuracy.
Contribution
A novel smoothness indicator based on solution differences that effectively identifies rough regions in active flux methods for hyperbolic PDEs.
Findings
The new SI accurately detects rough solution regions.
It improves the robustness of active flux methods.
Numerical examples demonstrate its effectiveness on Euler equations.
Abstract
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 (systems of) conservation laws. The new SI is based on measuring the difference between the two sets of solutions (either cell averages and point values or cell averages on overlapping grids) evolved at each time step of AF methods. The key idea in the derivation of the new SI is that in the ``rough'' parts of the evolved solutions, the difference is , while in the smooth areas, it is proportional to the order of the underlying AF method. The performance of the new SI, that is, its ability to automatically and robustly detect ``rough'' parts of the computed solutions, is illustrated on several numerical examples, in which the one-dimensional Euler equations of gas dynamics are numerically solved by a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Advanced Control Systems Optimization
