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A cubically convergent class of root finding iterative methods
Author(s) -
N. A.,
Hamed Esmaeili
Publication year - 2014
Publication title -
african journal of mathematics and computer science research
Language(s) - English
Resource type - Journals
ISSN - 2006-9731
DOI - 10.5897/ajmcsr12.036
Subject(s) - mathematics , class (philosophy) , nonlinear system , iterative method , convergence (economics) , local convergence , root finding algorithm , root (linguistics) , function (biology) , derivative (finance) , selection (genetic algorithm) , mathematical analysis , mathematical optimization , computer science , artificial intelligence , linguistics , philosophy , physics , quantum mechanics , evolutionary biology , economics , biology , economic growth , financial economics
In this paper, we propose a new two-parameter class of iterative methods to solve a nonlinear equation. It is proved that any method in this class is cubically convergent if and only if the parameters sum up to one. Some of the existing third-order methods, by suitable selection of parameters, can be put in this class. Every iteration of the class requires an evaluation of the function, three of the first derivative, and none of the second derivative. Hence, its efficiency index is 31/4 = 1.316 that is worse than all other cubically convergent methods considered. However, numerical experiments show that a special method in our class is comparable to those in terms of iterations number. Key words: Nonlinear equations, root finding, iterative method, third-order convergence.

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