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Fractional Newton–Raphson Method Accelerated with Aitken’s Method

Authors: A. Torres-Hernandez; F. Brambila-Paz; Ursula Iturrarán-Viveros; Reyna Caballero-Cruz;

Fractional Newton–Raphson Method Accelerated with Aitken’s Method

Abstract

In the following paper, we present a way to accelerate the speed of convergence of the fractional Newton–Raphson (F N–R) method, which seems to have an order of convergence at least linearly for the case in which the order α of the derivative is different from one. A simplified way of constructing the Riemann–Liouville (R–L) fractional operators, fractional integral and fractional derivative is presented along with examples of its application on different functions. Furthermore, an introduction to Aitken’s method is made and it is explained why it has the ability to accelerate the convergence of the iterative methods, in order to finally present the results that were obtained when implementing Aitken’s method in the F N–R method, where it is shown that F N–R with Aitken’s method converges faster than the simple F N–R.

Keywords

Mathematics - Complex Variables, fractional derivative, FOS: Physical sciences, Physics - Applied Physics, Numerical Analysis (math.NA), Mathematical Physics (math-ph), Applied Physics (physics.app-ph), fractional calculus, Computational Physics (physics.comp-ph), QA1-939, FOS: Mathematics, Newton–Raphson method, Mathematics - Numerical Analysis, Complex Variables (math.CV), Physics - Computational Physics, Mathematics, Mathematical Physics, Aitken’s method

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selected citations
These citations are derived from selected sources.
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!
25
Top 10%
Top 10%
Top 10%
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