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Hauptverfasser: Giannelli, Carlotta, Imperatore, Sofia, Kreusser, Lisa Maria, Loayza-Romero, Estefanía, Mohammadi, Fatemeh, Villamizar, Nelly
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2404.03742
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author Giannelli, Carlotta
Imperatore, Sofia
Kreusser, Lisa Maria
Loayza-Romero, Estefanía
Mohammadi, Fatemeh
Villamizar, Nelly
author_facet Giannelli, Carlotta
Imperatore, Sofia
Kreusser, Lisa Maria
Loayza-Romero, Estefanía
Mohammadi, Fatemeh
Villamizar, Nelly
contents We present a generalized formulation for reweighted least squares approximations. The goal of this article is twofold: firstly, to prove that the solution of such problem can be expressed as a convex combination of certain interpolants when the solution is sought in any finite-dimensional vector space; secondly, to provide a general strategy to iteratively update the weights according to the approximation error and apply it to the spline fitting problem. In the experiments, we provide numerical examples for the case of polynomials and splines spaces. Subsequently, we evaluate the performance of our fitting scheme for spline curve and surface approximation, including adaptive spline constructions.
format Preprint
id arxiv_https___arxiv_org_abs_2404_03742
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A general formulation of reweighted least squares fitting
Giannelli, Carlotta
Imperatore, Sofia
Kreusser, Lisa Maria
Loayza-Romero, Estefanía
Mohammadi, Fatemeh
Villamizar, Nelly
Numerical Analysis
We present a generalized formulation for reweighted least squares approximations. The goal of this article is twofold: firstly, to prove that the solution of such problem can be expressed as a convex combination of certain interpolants when the solution is sought in any finite-dimensional vector space; secondly, to provide a general strategy to iteratively update the weights according to the approximation error and apply it to the spline fitting problem. In the experiments, we provide numerical examples for the case of polynomials and splines spaces. Subsequently, we evaluate the performance of our fitting scheme for spline curve and surface approximation, including adaptive spline constructions.
title A general formulation of reweighted least squares fitting
topic Numerical Analysis
url https://arxiv.org/abs/2404.03742