{"title":"Fast numerical derivatives of univariate functions on non-uniform grids","authors":"Nadaniela Egidi, Josephin Giacomini, Pierluigi Maponi","doi":"10.1016/j.cam.2025.116619","DOIUrl":null,"url":null,"abstract":"<div><div>An algorithm for computing the derivative of a function, starting from its values at randomly chosen points is presented. This algorithm uses the singular value expansion of the derivative operator and the discrete Fourier transformations. The convergence of the numerical discretization scheme is analyzed in a simplified case, while the order of convergence and the stability are evaluated by numerical simulations.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"467 ","pages":"Article 116619"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725001347","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
An algorithm for computing the derivative of a function, starting from its values at randomly chosen points is presented. This algorithm uses the singular value expansion of the derivative operator and the discrete Fourier transformations. The convergence of the numerical discretization scheme is analyzed in a simplified case, while the order of convergence and the stability are evaluated by numerical simulations.
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.