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Algorithms
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Algorithms
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Algorithms
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Approximation of the Riesz–Caputo Derivative by Cubic Splines

Authors: Francesca Pitolli; Chiara Sorgentone; Enza Pellegrino;

Approximation of the Riesz–Caputo Derivative by Cubic Splines

Abstract

Differential problems with the Riesz derivative in space are widely used to model anomalous diffusion. Although the Riesz–Caputo derivative is more suitable for modeling real phenomena, there are few examples in literature where numerical methods are used to solve such differential problems. In this paper, we propose to approximate the Riesz–Caputo derivative of a given function with a cubic spline. As far as we are aware, this is the first time that cubic splines have been used in the context of the Riesz–Caputo derivative. To show the effectiveness of the proposed numerical method, we present numerical tests in which we compare the analytical solution of several boundary differential problems which have the Riesz–Caputo derivative in space with the numerical solution we obtain by a spline collocation method. The numerical results show that the proposed method is efficient and accurate.

Country
Italy
Keywords

cubic spline, collocation method; cubic spline; fractional differential equation; Riesz derivative, collocation method, Industrial engineering. Management engineering, fractional differential equation; Riesz derivative; cubic spline; collocation method, Electronic computers. Computer science, fractional differential equation, QA75.5-76.95, T55.4-60.8, Riesz derivative

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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!
18
Top 10%
Top 10%
Top 10%
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