Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling
ORCID Identifiers
Document Type
Article
Source of Publication
Chaos, Solitons and Fractals
Publication Date
9-1-2020
Abstract
© 2020 Elsevier Ltd Riesz wavelets in L2(R) 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.
DOI Link
ISSN
Publisher
Elsevier Ltd
Volume
138
First Page
109991
Disciplines
Life Sciences
Keywords
Fractional differential equations, Hematopoietic stem cells (HSC), Integro-differential equations, Numerical modeling, Riesz wavelets, Smoothed pseudo-splines
Scopus ID
Recommended Citation
Mohammad, Mutaz and Trounev, Alexander, "Implicit Riesz wavelets based-method for solving singular fractional integro-differential equations with applications to hematopoietic stem cell modeling" (2020). All Works. 1964.
https://zuscholars.zu.ac.ae/works/1964
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Bronze: This publication is openly available on the publisher’s website but without an open license