{"title":"多元多项式稀疏插值的鲁棒计算方法","authors":"Kazuki Kondo, Hiroshi Sekigawa","doi":"10.1145/3377006.3377018","DOIUrl":null,"url":null,"abstract":"For the problem of sparse interpolation of multivariate polynomials, we propose robust computation methods based on the modified numerical Ben-Or/Tiwari algorithm by M. Giesbrecht, G. Labahn, and W.-s. Lee.","PeriodicalId":41965,"journal":{"name":"ACM Communications in Computer Algebra","volume":"53 1","pages":"130 - 133"},"PeriodicalIF":0.4000,"publicationDate":"2019-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3377006.3377018","citationCount":"0","resultStr":"{\"title\":\"Robust computation methods for sparse interpolation of multivariate polynomials\",\"authors\":\"Kazuki Kondo, Hiroshi Sekigawa\",\"doi\":\"10.1145/3377006.3377018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the problem of sparse interpolation of multivariate polynomials, we propose robust computation methods based on the modified numerical Ben-Or/Tiwari algorithm by M. Giesbrecht, G. Labahn, and W.-s. Lee.\",\"PeriodicalId\":41965,\"journal\":{\"name\":\"ACM Communications in Computer Algebra\",\"volume\":\"53 1\",\"pages\":\"130 - 133\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2019-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/3377006.3377018\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Communications in Computer Algebra\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3377006.3377018\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Communications in Computer Algebra","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3377006.3377018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Robust computation methods for sparse interpolation of multivariate polynomials
For the problem of sparse interpolation of multivariate polynomials, we propose robust computation methods based on the modified numerical Ben-Or/Tiwari algorithm by M. Giesbrecht, G. Labahn, and W.-s. Lee.