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Journal of Mathematical Analysis and Applications
Article
License: Elsevier Non-Commercial
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Journal of Mathematical Analysis and Applications
Article . 2006
License: Elsevier Non-Commercial
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Journal of Mathematical Analysis and Applications
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An improvement of the Euler–Chebyshev iterative method

Authors: Miquel Grau; José Luis Díaz-Barrero;

An improvement of the Euler–Chebyshev iterative method

Abstract

AbstractWe present a new method for the computation of the solutions of nonlinear equations when it is necessary to use high precision. We improve the Euler–Chebyshev iterative method which is a generalization of an improvement of Newton's method. A symbolic computation allows us to find the best coefficients respect to the local order of convergence. The adaptation of the strategy presented here gives an additional iteration function with an additional evaluation of the function. It provides a lower cost if we use adaptive multi-precision arithmetics. The numerical results computed using this system, with a floating point representing a maximum of 210 decimal digits, support this theory.

Keywords

Computational efficiency, Iterative methods, Order of convergence, Applied Mathematics, Euler–Chebyshev's formula, Nonlinear equations, Analysis

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    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
62
Top 10%
Top 1%
Top 10%
hybrid