A mixed interpolation-regression method for numerical integration on some planar domains

Fuente: arXiv
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Main Authors: Cruz-Barroso, Ruymán, Fernández, Lidia, Marcellán, Francisco, Villegas, Juan Antonio
Format: Preprint
Published: 2026
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_version_ 1866911627065950208
author Cruz-Barroso, Ruymán
Fernández, Lidia
Marcellán, Francisco
Villegas, Juan Antonio
author_facet Cruz-Barroso, Ruymán
Fernández, Lidia
Marcellán, Francisco
Villegas, Juan Antonio
contents In this contribution we introduce a mixed interpolation-regression operator for functions defined in some domains of the plane. We focus the attention on the ellipse, an annulus and a polygon. An upper bound for such an operator is obtained. Cubature formulas for weight functions defined in such domains are studied. The performance of the above interpolation-regression methods is illustrated with some numerical examples taking into account the variations of the dimension of the interpolation and the regression part, respectively.
format Preprint
id arxiv_https___arxiv_org_abs_2604_24748
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A mixed interpolation-regression method for numerical integration on some planar domains
Cruz-Barroso, Ruymán
Fernández, Lidia
Marcellán, Francisco
Villegas, Juan Antonio
Numerical Analysis
33C45, 42C05, 65D32, 62J05
In this contribution we introduce a mixed interpolation-regression operator for functions defined in some domains of the plane. We focus the attention on the ellipse, an annulus and a polygon. An upper bound for such an operator is obtained. Cubature formulas for weight functions defined in such domains are studied. The performance of the above interpolation-regression methods is illustrated with some numerical examples taking into account the variations of the dimension of the interpolation and the regression part, respectively.
title A mixed interpolation-regression method for numerical integration on some planar domains
topic Numerical Analysis
33C45, 42C05, 65D32, 62J05
url https://arxiv.org/abs/2604.24748