Cargando…
Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling
Riesz wavelets in [Formula: see text] have been proven as a useful tool in the context of both pure and numerical analysis in many applications, due to their well prevailing and recognized theory and its natural properties such as sparsity and stability which lead to a well-conditioned scheme. In th...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297698/ https://www.ncbi.nlm.nih.gov/pubmed/32565621 http://dx.doi.org/10.1016/j.chaos.2020.109991 |
_version_ | 1783547059564969984 |
---|---|
author | Mohammad, Mutaz Trounev, Alexander |
author_facet | Mohammad, Mutaz Trounev, Alexander |
author_sort | Mohammad, Mutaz |
collection | PubMed |
description | Riesz wavelets in [Formula: see text] have been proven as a useful tool in the context of both pure and numerical analysis in many applications, due to their well prevailing and recognized theory and its natural properties such as sparsity and stability which lead to a well-conditioned scheme. In this paper, an effective and accurate technique based on Riesz wavelets is presented for solving weakly singular type of fractional order integro-differential equations with applications to solve system of fractional order model that describe the dynamics of uninfected, infected and free virus carried out by cytotoxic T lymphocytes (CTL). The Riesz wavelet in this work is constructed via the smoothed pseudo-splines refinable functions. The advantage of using such wavelets, in the context of fractional and integro-differential equations, lies on the simple structure of the reduced systems and in the powerfulness of obtaining approximated solutions for such equations that have weakly singular kernels. The proposed method shows a good performance and high accuracy orders. |
format | Online Article Text |
id | pubmed-7297698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72976982020-06-17 Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling Mohammad, Mutaz Trounev, Alexander Chaos Solitons Fractals Article Riesz wavelets in [Formula: see text] have been proven as a useful tool in the context of both pure and numerical analysis in many applications, due to their well prevailing and recognized theory and its natural properties such as sparsity and stability which lead to a well-conditioned scheme. In this paper, an effective and accurate technique based on Riesz wavelets is presented for solving weakly singular type of fractional order integro-differential equations with applications to solve system of fractional order model that describe the dynamics of uninfected, infected and free virus carried out by cytotoxic T lymphocytes (CTL). The Riesz wavelet in this work is constructed via the smoothed pseudo-splines refinable functions. The advantage of using such wavelets, in the context of fractional and integro-differential equations, lies on the simple structure of the reduced systems and in the powerfulness of obtaining approximated solutions for such equations that have weakly singular kernels. The proposed method shows a good performance and high accuracy orders. Elsevier Ltd. 2020-09 2020-06-17 /pmc/articles/PMC7297698/ /pubmed/32565621 http://dx.doi.org/10.1016/j.chaos.2020.109991 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Mohammad, Mutaz Trounev, Alexander Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title | Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title_full | Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title_fullStr | Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title_full_unstemmed | Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title_short | Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
title_sort | implicit riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297698/ https://www.ncbi.nlm.nih.gov/pubmed/32565621 http://dx.doi.org/10.1016/j.chaos.2020.109991 |
work_keys_str_mv | AT mohammadmutaz implicitrieszwaveletsbasedmethodforsolvingsingularfractionalintegrodifferentialequationswithapplicationstohematopoieticstemcellmodeling AT trounevalexander implicitrieszwaveletsbasedmethodforsolvingsingularfractionalintegrodifferentialequationswithapplicationstohematopoieticstemcellmodeling |