This paper presents a novel numerical approach for solving Volterra-renewal integral equations, which arise in various elds, including biology, engineering, and economics. Traditional treatment of the Volterra-renewal integral equations systems of this type utilises computationally large iterative algorithms. In order to tackle these limitations, we propose a hybrid method that is numerical in nature whereby an analytic and discretization techniques are used to obtain accurate and efficient solutions. Several test problems have been solved and the peculiarities of this method demonstrated, its possibility to solve a wide class of renewal-type problems is also presented. We have addressed a number of obstacles, such as managing nonlinearities and memory effects over extended periods of time, by using the Picard approach to provide a more accurate numerical approximation. We illustrate the benets of the proposed methods over closed-form solutions using numerical examples.
Volterra-renewal integral equations: a combined simplified numerical approach / Veliu, Denis; De Marchis, Roberto; Martire, Antonio Luciano. - In: INTERNATIONAL JOURNAL OF MATHEMATICAL ANALYSIS. - ISSN 1312-8876. - 18:2(2024), pp. 49-56. [10.12988/ijma.2024.912551]
Volterra-renewal integral equations: a combined simplified numerical approach
Veliu, Denis;De Marchis, Roberto;Martire, Antonio Luciano
2024
Abstract
This paper presents a novel numerical approach for solving Volterra-renewal integral equations, which arise in various elds, including biology, engineering, and economics. Traditional treatment of the Volterra-renewal integral equations systems of this type utilises computationally large iterative algorithms. In order to tackle these limitations, we propose a hybrid method that is numerical in nature whereby an analytic and discretization techniques are used to obtain accurate and efficient solutions. Several test problems have been solved and the peculiarities of this method demonstrated, its possibility to solve a wide class of renewal-type problems is also presented. We have addressed a number of obstacles, such as managing nonlinearities and memory effects over extended periods of time, by using the Picard approach to provide a more accurate numerical approximation. We illustrate the benets of the proposed methods over closed-form solutions using numerical examples.File | Dimensione | Formato | |
---|---|---|---|
Veliu_Volterra-renewal_2024.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza:
Creative commons
Dimensione
704.93 kB
Formato
Adobe PDF
|
704.93 kB | Adobe PDF |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.