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Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations
The data presented in this paper are related to the paper entitled “A Numerical Method for Solving Caputo's and Riemann-Liouville's Fractional Differential Equations which includes multi-order fractional derivatives and variable coefficients”, available in the “Communications in Nonlinear...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113621/ https://www.ncbi.nlm.nih.gov/pubmed/32258266 http://dx.doi.org/10.1016/j.dib.2020.105375 |
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author | Betancur-Herrera, David E. Muñoz-Galeano, Nicolas |
author_facet | Betancur-Herrera, David E. Muñoz-Galeano, Nicolas |
author_sort | Betancur-Herrera, David E. |
collection | PubMed |
description | The data presented in this paper are related to the paper entitled “A Numerical Method for Solving Caputo's and Riemann-Liouville's Fractional Differential Equations which includes multi-order fractional derivatives and variable coefficients”, available in the “Communications in Nonlinear Science and Numerical Simulation” journal. Here, data are included for three of the four examples of Fractional Differential Equation (FDE) reported in [1], the other data is already available in [1]. Data for each example contain: the interval of the solution, the solution by using the proposed method, the analytic solution and the absolute error. Data were obtained through Octave 5.1.0 simulations. For a better comprehension of the data, a pseudo-code of three stages and nine steps is included. |
format | Online Article Text |
id | pubmed-7113621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71136212020-04-03 Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations Betancur-Herrera, David E. Muñoz-Galeano, Nicolas Data Brief Mathematics The data presented in this paper are related to the paper entitled “A Numerical Method for Solving Caputo's and Riemann-Liouville's Fractional Differential Equations which includes multi-order fractional derivatives and variable coefficients”, available in the “Communications in Nonlinear Science and Numerical Simulation” journal. Here, data are included for three of the four examples of Fractional Differential Equation (FDE) reported in [1], the other data is already available in [1]. Data for each example contain: the interval of the solution, the solution by using the proposed method, the analytic solution and the absolute error. Data were obtained through Octave 5.1.0 simulations. For a better comprehension of the data, a pseudo-code of three stages and nine steps is included. Elsevier 2020-03-05 /pmc/articles/PMC7113621/ /pubmed/32258266 http://dx.doi.org/10.1016/j.dib.2020.105375 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Mathematics Betancur-Herrera, David E. Muñoz-Galeano, Nicolas Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title | Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title_full | Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title_fullStr | Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title_full_unstemmed | Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title_short | Data for numerical solution of Caputo's and Riemann–Liouville's fractional differential equations |
title_sort | data for numerical solution of caputo's and riemann–liouville's fractional differential equations |
topic | Mathematics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113621/ https://www.ncbi.nlm.nih.gov/pubmed/32258266 http://dx.doi.org/10.1016/j.dib.2020.105375 |
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