Discretization schemes based on NonStandard Finite Differences (NSFD) are a modification of Standard Finite Differences (SFD) schemes in which the classical denominators ∆t and ∆x (and also the related powers, if present) are replaced by particular scalar denominator functions satisfying certain condi tions. Furthermore, some terms of the SFD schemes can be approximated in the NSFD methods with non-local representations (see, e.g., [2] and [7]). The goal of these techniques is to improve the stability of SFD schemes built for the solution of ordinary and partial differential equations, being also able to preserve the positivity and the equilibrium points properties of the continuous model. In this talk [3], we extend the classical NSFD methodology by allowing the use of non-scalar denominator functions, inspired by Time-Accurate and highly-Stable Explicit operators (see [1]), also showing the connections between NSFD and exponentially fitted numerical methods (see, e.g, [4] and [6]), thanks to which it is possible to preserve the oscillation frequency, if a-priori known, of the exact continuous model solution. Finally, we apply the gener alized NSFD methodology to a vegetation linear-diffusion non-linear-reaction model [5], showing through numerical tests the advantages of the proposed numerical technique.

An extension of nonstandard finite differences with application to a vegetation model

Dajana Conte;Giovanni Pagano
;
Beatrice Paternoster
2022-01-01

Abstract

Discretization schemes based on NonStandard Finite Differences (NSFD) are a modification of Standard Finite Differences (SFD) schemes in which the classical denominators ∆t and ∆x (and also the related powers, if present) are replaced by particular scalar denominator functions satisfying certain condi tions. Furthermore, some terms of the SFD schemes can be approximated in the NSFD methods with non-local representations (see, e.g., [2] and [7]). The goal of these techniques is to improve the stability of SFD schemes built for the solution of ordinary and partial differential equations, being also able to preserve the positivity and the equilibrium points properties of the continuous model. In this talk [3], we extend the classical NSFD methodology by allowing the use of non-scalar denominator functions, inspired by Time-Accurate and highly-Stable Explicit operators (see [1]), also showing the connections between NSFD and exponentially fitted numerical methods (see, e.g, [4] and [6]), thanks to which it is possible to preserve the oscillation frequency, if a-priori known, of the exact continuous model solution. Finally, we apply the gener alized NSFD methodology to a vegetation linear-diffusion non-linear-reaction model [5], showing through numerical tests the advantages of the proposed numerical technique.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4799713
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