{"title":"计算dixon结果的一种新的插值算法","authors":"Ayoola Jinadu, M. Monagan","doi":"10.1145/3572867.3572883","DOIUrl":null,"url":null,"abstract":"Given a system of polynomial equations with parameters, we present a new interpolation algorithm for computing its Dixon resultant R. Our algorithm interpolates the monic square-free factors of R one at a time from monic univariate polynomial images of R using sparse rational function interpolation. We have implemented our new Dixon resultant algorithm in Maple with some subroutines coded in C for efficiency. Experimental results show that our algorithm significantly outperforms Zippel's sparse interpolation algorithm.","PeriodicalId":41965,"journal":{"name":"ACM Communications in Computer Algebra","volume":"56 1","pages":"88 - 91"},"PeriodicalIF":0.4000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new interpolation algorithm for computing dixon resultants\",\"authors\":\"Ayoola Jinadu, M. Monagan\",\"doi\":\"10.1145/3572867.3572883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given a system of polynomial equations with parameters, we present a new interpolation algorithm for computing its Dixon resultant R. Our algorithm interpolates the monic square-free factors of R one at a time from monic univariate polynomial images of R using sparse rational function interpolation. We have implemented our new Dixon resultant algorithm in Maple with some subroutines coded in C for efficiency. Experimental results show that our algorithm significantly outperforms Zippel's sparse interpolation algorithm.\",\"PeriodicalId\":41965,\"journal\":{\"name\":\"ACM Communications in Computer Algebra\",\"volume\":\"56 1\",\"pages\":\"88 - 91\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Communications in Computer Algebra\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3572867.3572883\",\"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/10.1145/3572867.3572883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
A new interpolation algorithm for computing dixon resultants
Given a system of polynomial equations with parameters, we present a new interpolation algorithm for computing its Dixon resultant R. Our algorithm interpolates the monic square-free factors of R one at a time from monic univariate polynomial images of R using sparse rational function interpolation. We have implemented our new Dixon resultant algorithm in Maple with some subroutines coded in C for efficiency. Experimental results show that our algorithm significantly outperforms Zippel's sparse interpolation algorithm.