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This paper is concerned with Lagrange interpolation by total degree polynomials in moderate dimensions. In particular, we are interested in characterising the optimal choice of points for the interpolation problem, where we define the…

Numerical Analysis · Mathematics 2014-07-15 Max Gunzburger , Aretha L Teckentrup

The study of interpolation nodes and their associated Lebesgue constants are central to numerical analysis, impacting the stability and accuracy of polynomial approximations. In this paper, we will explore the Morrow-Patterson points, a set…

Numerical Analysis · Mathematics 2024-12-20 Tomasz Beberok , Leokadia Białas-Cież , Stefano De Marchi

An upper bound for the Lebesgue constant (the supremum norm) of the operator of interpolation of a function in equally spaced points of a triangle by a polynomial of total degree less than or equal to n is obtained. Earlier, the rate of…

Numerical Analysis · Mathematics 2022-09-22 N Baidakova

A rule for constructing interpolation nodes for $n$th degree polynomials on the simplex is presented. These nodes are simple to define recursively from families of 1D node sets, such as the Lobatto-Gauss-Legendre (LGL) nodes. The resulting…

Numerical Analysis · Mathematics 2020-08-11 Tobin Isaac

We estimate the Lebesgue constants for Lagrange interpolation processes on one or several intervals by rational functions with fixed poles. We admit that the poles have accumulation points on the intervals. To prove it we use an analog of…

Complex Variables · Mathematics 2024-06-19 Sergei Kalmykov , Alexey Lukashov

Using the theory of quasiconformal mappings, we simplify the proof of the recent result by Taylor and Totik (see IMA Journal of Numerical Analysis 30 (2010) 462--486) on the behavior of the Lebesgue constants for interpolation points on a…

Complex Variables · Mathematics 2016-12-05 Vladimir Andrievskii

A method is presented for forming polynomial interpolants on squares and cubes, which are more efficient in the so-called Euclidean degree than other commonly used methods with the same number of collocation points. These methods have…

Numerical Analysis · Mathematics 2024-12-11 R. Connor Greene

The convergence rates on polynomial interpolation in most cases are estimated by Lebesgue constants. These estimates may be overestimated for some special points of sets for functions of limited regularities. In this paper, by applying the…

Numerical Analysis · Mathematics 2015-06-19 Shuhuang Xiang

To analyze the absolute condition number of multivariate polynomial interpolation on Lissajous-Chebyshev node points, we derive upper and lower bounds for the respective Lebesgue constant. The proof is based on a relation between the…

Numerical Analysis · Mathematics 2017-11-13 Peter Dencker , Wolfgang Erb , Yurii Kolomoitsev , Tetiana Lomako

We describe an iterative algorithm to construct an unstructured tessellation of simplices (irregular tetrahedra in 3-dimensions) to approximate an arbitrary function to a desired precision by interpolation. The method is applied to the…

We show that product Chebyshev polynomial meshes can be used, in a fully discrete way, to evaluate with rigorous error bounds the Lebesgue constant, i.e. the maximum of the Lebesgue function, for a class of polynomial projectors on cube,…

Numerical Analysis · Mathematics 2023-12-01 L. Bialas-Ciez , D. J. Kenne , A. Sommariva , M. Vianello

Low discrepancy point sets have been widely used as a tool to approximate continuous objects by discrete ones in numerical processes, for example in numerical integration. Following a century of research on the topic, it is still unclear…

Computational Geometry · Computer Science 2024-07-17 François Clément , Carola Doerr , Kathrin Klamroth , Luís Paquete

We introduce explicit families of good interpolation points for interpolation on a triangle in $\mathbb{R}^2$ that may be used for either polynomial interpolation or a certain rational interpolation for which we give explicit formulas.

Numerical Analysis · Mathematics 2023-06-16 Len Bos , Sione Ma'u , Shayne Waldron

In this article, we study bivariate polynomial interpolation on the node points of degenerate Lissajous figures. These node points form Chebyshev lattices of rank $1$ and are generalizations of the well-known Padua points. We show that…

Numerical Analysis · Mathematics 2016-04-05 Wolfgang Erb

In this paper, we focus on barycentric weights and Lebesgue constants for Lagrange interpolation of arbitrary node distributions on \([-1,1]\). The following three main works are included: estimates of upper and lower bounds on the…

Numerical Analysis · Mathematics 2024-01-24 Kelong Zhao , Shuhuang Xiang

We discuss the growth of the Lebesgue constants for polynomial interpolation at Fekete points for fixed degree (one) and varying dimension, and underlying set $K\subset \R^d$ a simplex, ball or cube.

Numerical Analysis · Mathematics 2023-05-04 Len Bos

In this work we develop a dynamically adaptive sparse grids (SG) method for quasi-optimal interpolation of multidimensional analytic functions defined over a product of one dimensional bounded domains. The goal of such approach is to…

Numerical Analysis · Mathematics 2015-08-06 Miroslav K. Stoyanov , Clayton G. Webster

In computational practice, we often encounter situations where only measurements at equally spaced points are available. Using standard polynomial interpolation in such cases can lead to highly inaccurate results due to numerical…

Numerical Analysis · Mathematics 2024-07-25 Ludovico Bruni Bruno , Francesco Dell'Accio , Wolfgang Erb , Federico Nudo

This work focuses on weighted Lagrange interpolation on an unbounded domain, and analyzes the Lebesgue constant for a sequence of weighted Leja points. The standard Leja points are a nested sequence of points defined on a compact subset of…

Numerical Analysis · Mathematics 2017-07-11 Peter Jantsch , Clayton G. Webster , Guannan Zhang

In this paper, we build up a framework for sparse interpolation. We first investigate the theoretical limit of the number of unisolvent points for sparse interpolation under a general setting and try to answer some basic questions of this…

Numerical Analysis · Mathematics 2013-08-30 Zhiqiang Xu , Tao Zhou
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