Symmetry-preserving discretizations of arbitrary order on structured curvilinear grids
Bas van 't Hof, Mathea J. Vuik

TL;DR
This paper introduces a novel symmetry-preserving discretization method for arbitrary order accuracy on structured curvilinear grids, ensuring stability, conservation, and accurate adjoint modeling in numerical simulations.
Contribution
It combines three key features: arbitrary order accuracy, applicability to all structured curvilinear meshes, and generality to any continuous operator, advancing discretization techniques.
Findings
Ensures discrete models preserve continuous operator properties.
Allows accurate and stable numerical simulations with symmetry properties.
Facilitates straightforward implementation of adjoint models.
Abstract
Mathematical descriptions of flow phenomena usually come in the form of partial differential equations. The differential operators used in these equations may have properties such as symmetry, skew-symmetry, positive or negative (definite)-ness. Symmetry-preserving methods are such that the discretized form of the continuous differential operator exhibits the same properties as the continuous operator itself. The use of symmetry-preserving discretizations makes it possible to construct discrete models which allow all the manipulations needed to prove stability and (discrete) conservation properties in the same way they were proven in the original continuous model. Furthermore, these methods allow a discretization of the continuous adjoint which is at the same time the discrete adjoint of the discrete forward model. Such adjoint models are not harder to code than the discrete forward…
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
TopicsComputer Graphics and Visualization Techniques · Advanced Numerical Analysis Techniques · Fluid Dynamics and Turbulent Flows
