Robust cubically and quartically iterative techniques free from derivative

Constructing of a technique which is both accurate and derivativefree is one of the most important tasks in the field of iterative processes. Hence in this study, convergent iterative techniques are suggested for solving single variable nonlinear equations. Their error equations are given theoretica...

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Autores principales: Soleymani,F, Hosseinabadi,V
Lenguaje:English
Publicado: Universidad Católica del Norte, Departamento de Matemáticas 2011
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172011000200002
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spelling oai:scielo:S0716-091720110002000022014-11-05Robust cubically and quartically iterative techniques free from derivativeSoleymani,FHosseinabadi,V Derivative-free methods efficiency index error equation asymptotic error constant multi-point iterations optimal order Constructing of a technique which is both accurate and derivativefree is one of the most important tasks in the field of iterative processes. Hence in this study, convergent iterative techniques are suggested for solving single variable nonlinear equations. Their error equations are given theoretically to show that they have cubic and quartical convergence. Per iteration the novel schemes include three evaluations of the function while they are free from derivative as well. In viewpoint of optimality, the developed quartically class reaches the optimal efficiency index 41/3 H" 1.587 based on the Kung-TraubHypothesis regarding the optimality of multi-point iterations without memory. In the end, the theoretical results are supported by numerical examples to elucidate the accuracy of the developed schemes.info:eu-repo/semantics/openAccessUniversidad Católica del Norte, Departamento de MatemáticasProyecciones (Antofagasta) v.30 n.2 20112011-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172011000200002en10.4067/S0716-09172011000200002
institution Scielo Chile
collection Scielo Chile
language English
topic Derivative-free methods
efficiency index
error equation
asymptotic error constant
multi-point iterations
optimal order
spellingShingle Derivative-free methods
efficiency index
error equation
asymptotic error constant
multi-point iterations
optimal order
Soleymani,F
Hosseinabadi,V
Robust cubically and quartically iterative techniques free from derivative
description Constructing of a technique which is both accurate and derivativefree is one of the most important tasks in the field of iterative processes. Hence in this study, convergent iterative techniques are suggested for solving single variable nonlinear equations. Their error equations are given theoretically to show that they have cubic and quartical convergence. Per iteration the novel schemes include three evaluations of the function while they are free from derivative as well. In viewpoint of optimality, the developed quartically class reaches the optimal efficiency index 41/3 H" 1.587 based on the Kung-TraubHypothesis regarding the optimality of multi-point iterations without memory. In the end, the theoretical results are supported by numerical examples to elucidate the accuracy of the developed schemes.
author Soleymani,F
Hosseinabadi,V
author_facet Soleymani,F
Hosseinabadi,V
author_sort Soleymani,F
title Robust cubically and quartically iterative techniques free from derivative
title_short Robust cubically and quartically iterative techniques free from derivative
title_full Robust cubically and quartically iterative techniques free from derivative
title_fullStr Robust cubically and quartically iterative techniques free from derivative
title_full_unstemmed Robust cubically and quartically iterative techniques free from derivative
title_sort robust cubically and quartically iterative techniques free from derivative
publisher Universidad Católica del Norte, Departamento de Matemáticas
publishDate 2011
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-09172011000200002
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AT hosseinabadiv robustcubicallyandquarticallyiterativetechniquesfreefromderivative
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