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Given a vector function ${\bf F}=(F_1,\ldots,F_d),$ analytic on a neighborhood of some compact subset $E$ of the complex plane with simply connected complement, we define a sequence of vector rational functions with common denominator in…

Complex Variables · Mathematics 2018-01-10 N. Bosuwan , G. López Lagomasino

We consider the sparse polynomial approximation of a multivariate function on a tensor product domain from samples of both the function and its gradient. When only function samples are prescribed, weighted $\ell^1$ minimization has recently…

Numerical Analysis · Mathematics 2019-02-22 Ben Adcock , Yi Sui

In this article, we study the problem of best $L_1$ approximation of Heaviside-type functions in Chebyshev and weak-Chebyshev spaces. We extend the Hobby-Rice theorem into an appropriate framework and prove the unicity of best $L_1$…

Functional Analysis · Mathematics 2015-10-27 Laurent Gajny , Olivier Gibaru , Eric Nyiri , Shu-Cherng Fang

There is presented an approach to find an approximation polynomial of a function with two variables based on the two dimensional discrete Fourier transform. The approximation polynomial is expressed through Chebyshev polynomials. There is…

Numerical Analysis · Mathematics 2015-04-21 Ernest Scheiber

We propose and investigate two new methods to approximate $f({\bf A}){\bf b}$ for large, sparse, Hermitian matrices ${\bf A}$. The main idea behind both methods is to first estimate the spectral density of ${\bf A}$, and then find…

Numerical Analysis · Computer Science 2018-08-30 Li Fan , David I Shuman , Shashanka Ubaru , Yousef Saad

Let $\widehat\sigma$ be a Cauchy transform of a possibly complex-valued Borel measure $\sigma$ and $\{p_n\}$ be a system of orthonormal polynomials with respect to a measure $\mu$, $\mathrm{supp}(\mu)\cap\mathrm{supp}(\sigma)=\varnothing$.…

Classical Analysis and ODEs · Mathematics 2017-06-12 Alexander I. Aptekarev , Alexey I. Bogolubsky , Maxim L. Yattselev

The use of approximants of Pad\`e type are employed to develop a method aimed at opening new perspectives in the theory of Appell polynomials $a_n(x)$, specified by the generating function \sum_{n=0}^{\infty} \frac{t^n}{n!} a_n(x) = A(t)…

Classical Analysis and ODEs · Mathematics 2025-09-04 Giuseppe Dattoli , Subuhi Khan , Ujair Ahmad

Algorithms and underlying mathematics are presented for numerical computation with periodic functions via approximations to machine precision by trigonometric polynomials, including the solution of linear and nonlinear periodic ordinary…

Numerical Analysis · Mathematics 2015-11-03 Grady B. Wright , Mohsin Javed , Hadrien Montanelli , Lloyd N. Trefethen

Type I Hermite--Pad\'e polynomials for a set of functions $f_0, f_1, ..., f_s$ at infinity, $Q_{n,0}$, $Q_{n,1}$, ..., $Q_{n,s}$, is defined by the asymptotic condition $$…

Classical Analysis and ODEs · Mathematics 2015-05-21 Andrei Martínez-Finkelshtein , Evgenii A. Rakhmanov , Sergeiy P. Suetin

We study the polynomial approximation of symmetric multivariate functions and of multi-set functions. Specifically, we consider $f(x_1, \dots, x_N)$, where $x_i \in \mathbb{R}^d$, and $f$ is invariant under permutations of its $N$…

Numerical Analysis · Mathematics 2023-02-06 Markus Bachmayr , Geneviève Dusson , Christoph Ortner , Jack Thomas

We obtain strong and uniform asymptotics in every domain of the complex plane for the scaled polynomials $a (3nz)$, $b (3nz)$, and $c (3nz)$ where $a$, $b$, and $c$ are the type II Hermite-Pad\'e approximants to the exponential function of…

Classical Analysis and ODEs · Mathematics 2010-07-30 A. B. J. Kuijlaars , H. Stahl , W. Van Assche , F. Wielonsky

In this paper we demonstrate that a well known linear inequality method developed for rational Chebyshev approximation is equivalent to the application of the bisection method used in quasiconvex optimisation. Although this correspondence…

Optimization and Control · Mathematics 2020-11-17 Vinesha Peiris , Nadezda Sukhorukova

The theory of Chebyshev approximation has been extensively studied. In most cases, the optimality conditions are based on the notion of alternance or alternating sequence (that is, maximal deviation points with alternating deviation signs).…

Functional Analysis · Mathematics 2025-01-30 Nadezda Sukhorukova , Julien Ugon

Approximation theory plays a central role in numerical analysis, undergoing continuous evolution through a spectrum of methodologies. Notably, Lebesgue, Weierstrass, Fourier, and Chebyshev approximations stand out among these methods.…

Numerical Analysis · Mathematics 2024-04-30 S Akansha

The generalized complex numbers can be realized in terms of $2\times2$ or higher-order matrices and can be exploited to get different ways of looking at the trigonometric functions. Since Chebyshev polynomials are linked to the power of…

Classical Analysis and ODEs · Mathematics 2012-07-10 D. Babusci , G. Dattoli , E. Di Di Palma , E. Sabia

We give a short introduction to Pade approximation (rational approximation to a function with close contact at one point) and to Hermite-Pade approximation (simultaneous rational approximation to several functions with close contact at one…

Classical Analysis and ODEs · Mathematics 2013-10-16 Walter Van Assche

In this short, conceptual paper we observe that essentially the same mathematics applies in three contexts with disparate literatures: (1) sigmoidal and RBF approximation of smooth functions, (2) rational approximation of analytic functions…

Numerical Analysis · Mathematics 2023-03-06 Daan Huybrechs , Lloyd N. Trefethen

We study AAK as well as Pad\'e approximants to functions f, where f is a sum of a Cauchy transform of a complex measure \mu supported on a real interval included in (-1,1), whose Radon-Nikodym derivative with respect to the arcsine…

Classical Analysis and ODEs · Mathematics 2010-01-22 Maxim Yattselev

En utilisant des approximants de Hermite-Pad\'e de fonctions exponentielles, ainsi que des d\'eterminants d'interpolation de Laurent, nous minorons la distance entre un nombre alg\'ebrique et l'exponentielle d'un nombre alg\'ebrique non…

Number Theory · Mathematics 2012-02-01 Samy Khémira , Paul Voutier

We consider approximating solutions to parameterized linear systems of the form $A(\mu_1,\mu_2) x(\mu_1,\mu_2) = b$. Here the matrix $A(\mu_1,\mu_2) \in \mathbb{R}^{n \times n}$ is nonsingular, large, and sparse and depends nonlinearly on…

Numerical Analysis · Mathematics 2025-02-27 Siobhán Correnty , Melina A. Freitag , Kirk M. Soodhalter