Dimensional splitting of hyperbolic partial differential equations using the Radon transform
arXiv:1705.03609 · doi:10.1137/17M1135633
Abstract
We introduce a dimensional splitting method based on the intertwining property of the Radon transform, with a particular focus on its applications related to hyperbolic partial differential equations (PDEs). This dimensional splitting has remarkable properties that makes it useful in a variety of contexts, including multi-dimensional extension of large time-step (LTS) methods, absorbing boundary conditions, displacement interpolation, and multi-dimensional generalization of transport reversal.
25 pages
References in corpus (1)
Cited by in corpus (6)
- Lagrangian PINNs: A causality-conforming solution to failure modes of physics-informed neural networks
- Manifold Approximations via Transported Subspaces: Model reduction for transport-dominated problems
- Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems
- Exact and fast inversion of the approximate discrete Radon transform from partial data
- Three-dimensional multiscale discrete Radon and John transforms
- A Low Rank Neural Representation of Entropy Solutions