Applications of AAA rational approximation

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Authors: Yuji Nakatsukasa, Lloyd N. Trefethen
Cited by: 3
References: 245

Abstract

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.

Fields of Study & Subjects

Mathematical functions and polynomials Iterative Methods for Nonlinear Equations Fractional Differential Equations Solutions

Publication details

Journal / source
Acta Numerica
Publisher
Cambridge University Press (CUP)
Volume
35
Pages
459–601
Publication date
19 June 2026
Language
EN