{"title":"确保金融系统数据完整性的多项式方法","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":"{\"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}","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}
Polynomial Methods for Ensuring Data Integrity in Financial Systems
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.
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