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A Two-Parameter Family of Fourth-Order Iterative Methods with Optimal Convergence for Multiple Zeros
Author(s) -
Young Ik Kim,
Young Hee Geum
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/369067
Subject(s) - mathematics , convergence (economics) , order (exchange) , nonlinear system , constant (computer programming) , derivative (finance) , iterative method , harmonic , mathematical optimization , computer science , physics , finance , quantum mechanics , financial economics , economics , programming language , economic growth
We develop a family of fourth-order iterative methods using the weighted harmonic mean of two derivative functions to compute approximate multiple roots of nonlinear equations. They are proved to be optimally convergent in the sense of Kung-Traub’s optimal order. Numerical experiments for various test equations confirm well the validity of convergence and asymptotic error constants for the developed methods

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