个人信息Personal Information
副教授
硕士生导师
教师拼音名称:liutianbao
电子邮箱:
所在单位:数学与统计学院
学历:博士研究生毕业
性别:男
学位:博士学位
在职信息:在职
毕业院校:吉林大学
【SCI】An optimal fourth-order family of modified Cauchy methods for finding solutions of nonlinear equations and their dynamical behavior
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所属单位:数学与统计学院
教研室:数学教研室
发表刊物:Open Mathematics
项目来源:省、市、自治区科技项目
关键字:iterative methods, Newton’s method, Cauchy’s method, order of convergence, Pade′ approximant
摘要:In this paper, we derive and analyze a new one-parameter family of modied Cauchy method free from second derivative for obtaining simple roots of nonlinear equations by using Pade′ approximant. The convergence analysis of the family is also considered, and the methods have convergence order three. Based on the family of third-order method, in order to increase the order of the convergence, a new optimal fourth-order family of modied Cauchy methods is obtained by using weight function. We also perform some numerical tests and the comparison with existing optimal fourth-order methods to show the high computational eciency of the proposed scheme, which conrm our theoretical results. The basins of attraction of this optimal fourth-order family and existing fourth-order methods are presented and compared to illustrate some elements of the proposed family have equal or better stable behavior in many aspects. Furthermore, from the fractal graphics, with the increase of the value m of the series in iterative methods, the chaotic behaviors of the methods become more and more complex, which also reected in some existing fourth-order methods.
第一作者:刘天宝
论文类型:期刊论文
卷号:17
期号:1
页面范围:1
字数:4
ISSN号:2391-5455
是否译文:否
发表时间:2019-12-31