Three New Optimal Fourth-Order Iterative Methods to Solve Nonlinear Equations
Author(s) -
Gustavo Fernández-Torres,
Juan Vásquez Aquino
Publication year - 2013
Publication title -
advances in numerical analysis
Language(s) - English
Resource type - Journals
eISSN - 1687-9570
pISSN - 1687-9562
DOI - 10.1155/2013/957496
Subject(s) - convergence (economics) , mathematics , nonlinear system , newton's method , conjecture , order (exchange) , local convergence , iterative method , mathematical optimization , pure mathematics , physics , finance , quantum mechanics , economics , economic growth
We present new modifications to Newton's method for solving nonlinear equations. The analysis of convergence shows that these methods have fourth-order convergence. Each of the three methods uses three functional evaluations. Thus, according to Kung-Traub's conjecture, these are optimal methods. With the previous ideas, we extend the analysis to functions with multiple roots. Several numerical examples are given to illustrate that the presented methods have better performance compared with Newton's classical method and other methods of fourth-order convergence recently published
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