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Communications in Nonlinear Science and Numerical Simulation
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2016
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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A Caputo fractional derivative of a function with respect to another function

Authors: Ricardo Almeida;

A Caputo fractional derivative of a function with respect to another function

Abstract

In this paper we consider a Caputo type fractional derivative with respect to another function. Some properties, like the semigroup law, a relationship between the fractional derivative and the fractional integral, Taylor's Theorem, Fermat's Theorem, etc, are studied. Also, a numerical method to deal with such operators, consisting in approximating the fractional derivative by a sum that depends on the first-order derivative, is presented. Relying on examples, we show the efficiency and applicability of the method. Finally, an application of the fractional derivative, by considering a Population Growth Model, and showing that we can model more accurately the process using different kernels for the fractional operator is provided.

This is a preprint of a paper whose final and definite form will be published in the journal Communications in Nonlinear Science and Numerical Simulation

Country
Portugal
Keywords

Mathematics - Classical Analysis and ODEs, Fractional calculus, Classical Analysis and ODEs (math.CA), FOS: Mathematics, Semigroup law, Numerical methods, Population growth model

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    918
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    Top 0.01%
    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!
918
Top 0.01%
Top 0.1%
Top 0.1%
Green
bronze