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An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations
This paper is devoted to shedding some light on the advantages of using tight frame systems for solving some types of fractional Volterra integral equations (FVIEs) involved by the Caputo fractional order derivative. A tight frame or simply framelet, is a generalization of an orthonormal basis. A lo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517408/ https://www.ncbi.nlm.nih.gov/pubmed/33286595 http://dx.doi.org/10.3390/e22080824 |
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author | Mohammad, Mutaz Trounev, Alexander Cattani, Carlo |
author_facet | Mohammad, Mutaz Trounev, Alexander Cattani, Carlo |
author_sort | Mohammad, Mutaz |
collection | PubMed |
description | This paper is devoted to shedding some light on the advantages of using tight frame systems for solving some types of fractional Volterra integral equations (FVIEs) involved by the Caputo fractional order derivative. A tight frame or simply framelet, is a generalization of an orthonormal basis. A lot of applications are modeled by non-negative functions; taking this into account in this paper, we consider framelet systems generated using some refinable non-negative functions, namely, B-splines. The FVIEs we considered were reduced to a set of linear system of equations and were solved numerically based on a collocation discretization technique. We present many important examples of FVIEs for which accurate and efficient numerical solutions have been accomplished and the numerical results converge very rapidly to the exact ones. |
format | Online Article Text |
id | pubmed-7517408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75174082020-11-09 An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations Mohammad, Mutaz Trounev, Alexander Cattani, Carlo Entropy (Basel) Article This paper is devoted to shedding some light on the advantages of using tight frame systems for solving some types of fractional Volterra integral equations (FVIEs) involved by the Caputo fractional order derivative. A tight frame or simply framelet, is a generalization of an orthonormal basis. A lot of applications are modeled by non-negative functions; taking this into account in this paper, we consider framelet systems generated using some refinable non-negative functions, namely, B-splines. The FVIEs we considered were reduced to a set of linear system of equations and were solved numerically based on a collocation discretization technique. We present many important examples of FVIEs for which accurate and efficient numerical solutions have been accomplished and the numerical results converge very rapidly to the exact ones. MDPI 2020-07-28 /pmc/articles/PMC7517408/ /pubmed/33286595 http://dx.doi.org/10.3390/e22080824 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mohammad, Mutaz Trounev, Alexander Cattani, Carlo An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title | An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title_full | An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title_fullStr | An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title_full_unstemmed | An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title_short | An Efficient Method Based on Framelets for Solving Fractional Volterra Integral Equations |
title_sort | efficient method based on framelets for solving fractional volterra integral equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517408/ https://www.ncbi.nlm.nih.gov/pubmed/33286595 http://dx.doi.org/10.3390/e22080824 |
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