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Novel Computational Iterative Methods with Optimal Order for Nonlinear Equations
Author(s) -
Fazlollah Soleymani
Publication year - 2011
Publication title -
advances in numerical analysis
Language(s) - English
Resource type - Journals
eISSN - 1687-9570
pISSN - 1687-9562
DOI - 10.1155/2011/270903
Subject(s) - class (philosophy) , nonlinear system , convergence (economics) , mathematics , function (biology) , iterative method , order (exchange) , point (geometry) , local convergence , computer science , mathematical optimization , geometry , physics , finance , quantum mechanics , artificial intelligence , evolutionary biology , economics , biology , economic growth
This paper contributes a very general class of two-point iterative methods without memory for solving nonlinear equations. The class of methods is developed using weight function approach. Per iteration, each method of the class includes two evaluations of the function and one of its first-order derivative. The analytical study of the main theorem is presented in detail to show the fourth order of convergence. Furthermore, it is discussed that many of the existing fourth-order methods without memory are members from this developed class. Finally, numerical examples are taken into account to manifest the accuracy of the derived methods

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