Applications of QR-based Vector-Valued Rational Approximation
Simon Dirckx

TL;DR
This paper demonstrates the versatility and practical effectiveness of the QR-AAA algorithm in various computational applications involving vector-valued rational approximation, including fluid dynamics, quadrature, and boundary element methods.
Contribution
It introduces and applies the QR-AAA algorithm to multiple computational problems, showcasing its flexibility and efficiency in practical scenarios.
Findings
Effective in Stokes flow computation
Versatile in multivariate rational approximation
Enhances boundary element method accuracy
Abstract
Several applications of the QR-AAA algorithm, a greedy scheme for vector-valued rational approximation, are presented. The focus is on demonstrating the flexibility and practical effectiveness of QR-AAA in a variety of computational settings, including Stokes flow computation, multivariate rational approximation, function extension, the development of novel quadrature methods and near-field approximation in the boundary element method.
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
TopicsModel Reduction and Neural Networks · Advanced Numerical Methods in Computational Mathematics · Electromagnetic Scattering and Analysis
