{"title":"Polynomial Methods for Ensuring Data Integrity in Financial Systems","authors":"Ignacio Brasca","doi":"arxiv-2409.07490","DOIUrl":null,"url":null,"abstract":"Ensuring data integrity is a critical requirement in complex systems,\nespecially in financial platforms where vast amounts of data must be\nconsistently accurate and reliable. This paper presents a robust approach using\npolynomial interpolation methods to maintain data integrity across multiple\nindicators and dimensions.","PeriodicalId":501162,"journal":{"name":"arXiv - MATH - Numerical Analysis","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Numerical Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ensuring data integrity is a critical requirement in complex systems,
especially in financial platforms where vast amounts of data must be
consistently accurate and reliable. This paper presents a robust approach using
polynomial interpolation methods to maintain data integrity across multiple
indicators and dimensions.