On general families of multipoint iterations by inverse interpolation and their applications

被引:0
|
作者
Zheng, Quan [1 ]
Liu, Zhongli [2 ]
机构
[1] North China Univ Technol, Coll Sci, Beijing 100144, Peoples R China
[2] Beijing Union Univ, Inst Math & Phys, Beijing 100101, Peoples R China
关键词
Nonlinear problem; General multipoint iteration; Inverse interpolation; Optimal order of convergence; Self-acceleration; Multiple shooting method; ROOT-FINDING METHODS; MEMORY; ORDER; DERIVATIVES; SOLVERS;
D O I
10.1016/j.cam.2023.115096
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a general family of derivative-free n + 1-point iterative methods with n+1 parameters is constructed by inverse interpolation for solving nonlinear equations. A general family of n-point iterative methods with the first derivative and n parameters is also constructed by inverse interpolation. They satisfy the conjecture of Kung and Traub (1974) that an iterative method based on n + 1 evaluations per iteration without memory would have optimal order 2n. Furthermore, the two families are accelerated by divided difference expressions for the parameters with one memory f(xk-1,n) per iteration to achieve higher orders of convergence 2n + 2n-1 and 2n + 2n-2, respectively. Finally, the proposed families are verified by solving nonlinear equations and applied to solve nonlinear ODEs.(c) 2023 Elsevier B.V. All rights reserved.
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页数:16
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