Edge-based discretizations on triangulations in $\mathbb{R}^d$, with special attention to four-dimensional space
Nicholas Tufillaro, David M. Williams, and Hiroaki Nishikawa

TL;DR
This paper introduces a rigorous framework for median-dual regions in high-dimensional triangulations, enabling efficient node-centered edge-based discretizations for complex space-time problems in computational fluid dynamics.
Contribution
It provides the first rigorous definition of median-dual regions in any dimension, along with new methods for computing their hypervolumes and directed-hyperarea vectors, facilitating advanced discretization schemes.
Findings
Successful numerical experiments in 2D, 3D, and 4D demonstrate scheme effectiveness.
New algorithms improve geometric property computations of median-dual regions.
Analysis confirms computational efficiency and robustness of the proposed methods.
Abstract
Many time-dependent problems in the field of computational fluid dynamics can be solved using space-time methods. However, such methods can encounter issues with computational cost and robustness. In order to address these issues, efficient, node-centered edge-based schemes are currently being developed. In these schemes, a median-dual tessellation of the space-time domain is constructed based on an initial triangulation. These methods are node-centered or node-based, as the primary components of the discretization are median-dual regions (polytopes) which surround the mesh nodes. These methods are extremely robust, as the median-dual regions will often maintain a positive volume and other good geometric properties, even in cases when some of the associated simplices have negative volumes, or other poor geometric properties. Unfortunately, it is not straightforward to construct…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Digital Image Processing Techniques · Point processes and geometric inequalities
