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Sibirskii Zhurnal Vychislitel'noi Matematiki, 2022, Volume 25, Number 3, Pages 269–287
DOI: https://doi.org/10.15372/SJNM20220304
(Mi sjvm810)
 

On the advantages of nonstandard finite differences discretizations for differential problems

D. Conte, N. Guarino, G. Pagano, B. Paternoster

Department of Mathematics, University of Salerno, Fisciano, 84084, Italy
References:
Abstract: The goal of this work is to highlight the advantages of using NonStandard Finite Differences (NSFD) numerical schemes for the resolution of Ordinary Differential Equations (ODEs) and Partial Differential Equations (PDEs) of which some properties of the exact solution are a-priori known, such as positivity. The main reference considered is Mickens' work [14], in which the author derives NSFD schemes for ODEs and PDEs that describe real phenomena, and therefore widely used in applications. We rigorously demonstrate that NSFD methods can have a higher order of convergence than the related classical ones, deriving also the conditions that guarantee the stability of the analyzed schemes. Furthermore, we carry out in-depth numerical tests comparing the classical methods with the NSFD ones proposed by Mickens, evaluating when the latter are decidedly advantageous.
Key words: nonstandard finite difference methods, positive solutions, exact schemes, ordinary differential equations, partial differential equations.
Funding agency Grant number
Istituto Nazionale di Alta Matematica Francesco Severi PRIN2017-MIUR
Received: 19.11.2021
Revised: 16.12.2021
Accepted: 24.04.2022
Document Type: Article
MSC: 65Lxx, 65Mxx, 65Nxx
Language: Russian
Citation: D. Conte, N. Guarino, G. Pagano, B. Paternoster, “On the advantages of nonstandard finite differences discretizations for differential problems”, Sib. Zh. Vychisl. Mat., 25:3 (2022), 269–287
Citation in format AMSBIB
\Bibitem{ConGuaPag22}
\by D.~Conte, N.~Guarino, G.~Pagano, B.~Paternoster
\paper On the advantages of
nonstandard finite differences discretizations for differential problems
\jour Sib. Zh. Vychisl. Mat.
\yr 2022
\vol 25
\issue 3
\pages 269--287
\mathnet{http://mi.mathnet.ru/sjvm810}
\crossref{https://doi.org/10.15372/SJNM20220304}
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