{"title":"Numerical derivation of multivariate functions","authors":"Nadaniela Egidi, Josephin Giacomini, Pierluigi Maponi","doi":"10.1016/j.apnum.2024.12.011","DOIUrl":null,"url":null,"abstract":"<div><div>We consider the problem of the numerical derivation of a function of several real variables. The proposed numerical method is based on the singular value expansion of the integral formulation of the derivative problem generalised to the multivariate case. The resulting derivation method is able to compute the partial derivatives of a multivariate function sampled at points in general position. The accuracy of the proposed method is analysed and confirmed by numerical tests performed for different distributions of the sampling points.</div></div>","PeriodicalId":8199,"journal":{"name":"Applied Numerical Mathematics","volume":"210 ","pages":"Pages 165-176"},"PeriodicalIF":2.2000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168927424003520","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
We consider the problem of the numerical derivation of a function of several real variables. The proposed numerical method is based on the singular value expansion of the integral formulation of the derivative problem generalised to the multivariate case. The resulting derivation method is able to compute the partial derivatives of a multivariate function sampled at points in general position. The accuracy of the proposed method is analysed and confirmed by numerical tests performed for different distributions of the sampling points.
期刊介绍:
The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are:
(i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.
(ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.
(iii) Short notes, which present specific new results and techniques in a brief communication.