{"title":"求解非线性方程的单参数三阶迭代法","authors":"J. An, Yuan Yuan","doi":"10.1109/ICIC.2011.88","DOIUrl":null,"url":null,"abstract":"In this paper, we present a modification of the two-step Newton's method which produces a class of one-parameter iterative methods for solving nonlinear equations. An interpolating polynomial is constructed to avoid the evaluation of derivative. The convergence analysis shows that the new methods are third-order convergent and require one function and two first derivative evaluations per iteration. Several numerical examples are given to illustrate the performance of the presented methods.","PeriodicalId":6397,"journal":{"name":"2011 Fourth International Conference on Information and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"One-Parameter Third-Order Iterative Methods for Solving Nonlinear Equations\",\"authors\":\"J. An, Yuan Yuan\",\"doi\":\"10.1109/ICIC.2011.88\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a modification of the two-step Newton's method which produces a class of one-parameter iterative methods for solving nonlinear equations. An interpolating polynomial is constructed to avoid the evaluation of derivative. The convergence analysis shows that the new methods are third-order convergent and require one function and two first derivative evaluations per iteration. Several numerical examples are given to illustrate the performance of the presented methods.\",\"PeriodicalId\":6397,\"journal\":{\"name\":\"2011 Fourth International Conference on Information and Computing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Information and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC.2011.88\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Information and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC.2011.88","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
One-Parameter Third-Order Iterative Methods for Solving Nonlinear Equations
In this paper, we present a modification of the two-step Newton's method which produces a class of one-parameter iterative methods for solving nonlinear equations. An interpolating polynomial is constructed to avoid the evaluation of derivative. The convergence analysis shows that the new methods are third-order convergent and require one function and two first derivative evaluations per iteration. Several numerical examples are given to illustrate the performance of the presented methods.