Two-dimensional Fourier Continuation and applications
Oscar P. Bruno, Jagabandhu Paul

TL;DR
This paper introduces a two-dimensional Fourier Continuation method (2D-FC) for extending smooth functions on complex domains, enabling high-order accurate solutions to PDEs with efficient algorithms and applications to wave and Poisson equations.
Contribution
The paper develops a novel 2D-FC technique that generalizes Fourier continuation to two dimensions and applies it to solve PDEs efficiently on general domains.
Findings
Achieves arbitrarily high order accuracy.
Enables efficient solutions to wave and Poisson equations.
Introduces the Fourier Forwarding solver with sublinear cost.
Abstract
This paper presents a "two-dimensional Fourier Continuation" method (2D-FC) for construction of bi-periodic extensions of smooth non-periodic functions defined over general two-dimensional smooth domains. The approach can be directly generalized to domains of any given dimensionality, and even to non-smooth domains, but such generalizations are not considered here. The 2D-FC extensions are produced in a two-step procedure. In the first step the one-dimensional Fourier Continuation method is applied along a discrete set of outward boundary-normal directions to produce, along such directions, continuations that vanish outside a narrow interval beyond the boundary. Thus, the first step of the algorithm produces "blending-to-zero along normals" for the given function values. In the second step, the extended function values are evaluated on an underlying Cartesian grid by means of an…
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
TopicsElectromagnetic Simulation and Numerical Methods · Advanced Numerical Methods in Computational Mathematics · Electromagnetic Scattering and Analysis
