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Applications of AAA rational approximation

Published online by Cambridge University Press:  19 June 2026

Yuji Nakatsukasa
Affiliation:
Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6GG, UK E-mail: nakatsukasa@maths.ox.ac.uk
Lloyd N. Trefethen
Affiliation:
School of Engineering and Applied Sciences, Harvard University, 29 Oxford St, Cambridge, MA 02138, USA E-mail: trefethen@seas.harvard.edu
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Abstract

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The AAA algorithm for rational approximation is employed to illustrate applications of rational functions all across numerical analysis. For example, rational functions enable strikingly effective methods for numerical differentiation and integration; interpolation of equispaced data; locating zeros, poles, and branch points; analytic continuation; computation of inverse functions; imputation of missing data; computation of nonlinear eigenvalues and resonances; model order reduction/reduced order modelling; solution of Wiener–Hopf and Hilbert transform problems; conformal mapping; and solution of the two-dimensional Laplace, biharmonic and Helmholtz equations. The paper also surveys various improvements and generalizations of the AAA algorithm that have developed since its original appearance in 2018.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press