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We describe bivariate polynomial sequences orthogonal to a symmetric weight function in terms of several bivariate polynomial sequences orthogonal with respect to Christoffel transformations of the initial weight under a quadratic…

Classical Analysis and ODEs · Mathematics 2022-02-22 Amílcar Branquinho , Ana Foulquié Moreno , Teresa E. Pérez

A recent result of S.-Y. Lee and M. Yang states that the planar orthogonal polynomials orthogonal with respect to a modified Gaussian measure are multiple orthogonal polynomials of type II on a contour in the complex plane. We show that the…

Classical Analysis and ODEs · Mathematics 2023-04-13 Sergey Berezin , Arno B. J. Kuijlaars , Iván Parra

We study approximation properties of weighted $L^2$-orthogonal projectors onto spaces of polynomials of bounded degree in the Euclidean unit ball, where the weight is of the generalized Gegenbauer form $x \mapsto (1-\|x\|^2)^\alpha$,…

Classical Analysis and ODEs · Mathematics 2017-05-23 Leonardo E. Figueroa

Multivariate orthogonal polynomials can be introduced by using a moment functional defined on the linear space of polynomials in several variables with real coefficients. We study the so-called Uvarov and Christoffel modifications obtained…

Classical Analysis and ODEs · Mathematics 2016-09-13 Antonia M. Delgado , Lidia Fernández , Teresa E. Pérez , Miguel A. Piñar

Starting from de la Vall\'ee Poussin type (VP) interpolation, the authors have recently introduced a family of interpolating polynomial scaling and wavelet bases generating the approximation and detail spaces of a non-standard…

Numerical Analysis · Mathematics 2026-02-25 Woula Themistoclakis , Marc Van Barel

Effective verification and validation techniques for modern scientific machine learning workflows are challenging to devise. Statistical methods are abundant and easily deployed, but often rely on speculative assumptions about the data and…

Machine Learning · Computer Science 2025-02-11 Tyler Chang , Andrew Gillette , Romit Maulik

In some fields such as Mathematics Mechanization, automated reasoning and Trustworthy Computing etc., exact results are needed. Symbolic computations are used to obtain the exact results. Symbolic computations are of high complexity. In…

Symbolic Computation · Computer Science 2008-09-10 Yong Feng , Jingzhong Zhang , Xiaolin Qin , Xun Yuan

The maximum volume principle is investigated as a means to solve the following problem: Given a set of arbitrary interpolation nodes, how to choose a set of polynomial basis functions for which the Lagrange interpolation problem is…

Numerical Analysis · Mathematics 2017-05-16 Vesa Kaarnioja

We first give a method to get multidimensional Leja sequences by considering intertwining sequences from one-dimensional ones. An application is the existence of explicit Leja sequences for the closed unit polydisc. Next, we deal with some…

Complex Variables · Mathematics 2019-09-10 Amadeo Irigoyen

Although it is important both in theory as well as in applications, a theory of Birkhoff interpolation with main emphasis on the shape of the set of nodes is still missing. Although we will consider various shapes (e.g. we find all the…

Numerical Analysis · Mathematics 2007-05-23 Marius Crainic , Nicolae Crainic

Based on tensor neural network, we propose an interpolation method for high dimensional non-tensor-product-type functions. This interpolation scheme is designed by using the tensor neural network based machine learning method. This means…

Numerical Analysis · Mathematics 2024-04-12 Yongxin Li , Zhongshuo Lin , Yifan Wang , Hehu Xie

The present article is concerned scattered data approximation for higher dimensional data sets which exhibit an anisotropic behavior in the different dimensions. Tailoring sparse polynomial interpolation to this specific situation, we…

Numerical Analysis · Mathematics 2024-02-16 Helmut Harbrecht , Michael Multerer , Jacopo Quizi

To approximate solutions of a linear differential equation, we project, via trigonometric interpolation, its solution space onto a finite-dimensional space of trigonometric polynomials and construct a matrix representation of the…

Numerical Analysis · Mathematics 2011-08-30 Oksana Bihun , Austin Bren , Michael Dyrud , Kristin Heysse

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

In this survey article, we review some results and conjectures related to orthogonal polynomials on Cantor sets. The main purpose of this paper is to emphasize the role of equilibrium measures in order to have a general theory of…

Classical Analysis and ODEs · Mathematics 2016-11-08 Gökalp Alpan

In this work we show how to get advantage from the Riemann--Hilbert analysis in order to obtain information about the matrix orthogonal polynomials and functions of second kind associated with a weight matrix. We deduce properties for the…

Classical Analysis and ODEs · Mathematics 2023-06-01 Amílcar Branquinho , Ana Foulquié-Moreno , Assil Fradi , Manuel Mañas

The purpose of this note is to give an affirmative answer to a conjecture appearing in [Integral Transforms Spec. Funct. 26 (2015) 90-95].

Classical Analysis and ODEs · Mathematics 2019-10-03 K. Castillo , M. N. de Jesus , J. Petronilho

We introduce a new family of multiple orthogonal polynomials satisfying orthogonality conditions with respect to two weights $(w_1,w_2)$ on the positive real line, with $w_1(x)=x^\alpha e^{-x}$ the gamma density and $w_2(x) = x^\alpha…

Classical Analysis and ODEs · Mathematics 2023-08-15 Walter Van Assche , Thomas Wolfs

In this paper, we propose a trigonometric-interpolation approach for solutions of second order nonlinear ODEs with mixed boundary conditions. The method interpolates secondary derivative $y''$ of a target solution $y$ by a trigonometric…

Numerical Analysis · Mathematics 2025-04-29 Xiaorong Zou

For the Lagrange interpolation over a triangular domain, we propose an efficient algorithm to rigorously evaluate the interpolation error constant under the maximum norm by using the finite element method (FEM). In solving the optimization…

Numerical Analysis · Mathematics 2021-12-07 Shirley Mae Galindo , Koichiro Ike , Xuefeng Liu
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