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In this sense, recent studies have demonstrated that numerical schemes based on Green's functions are alternatives for solving reaction–diffusion equations [35] ...
The idea is to pose an integral formulation of the equation in terms of the underlying Green's function of the fractional operator to subsequently use numerical ...
This work introduces a new systematic approach based on Green's function formulations to obtain numerical schemes for fractional reaction–diffusion equations.
This document presents a new numerical method for solving fractional reaction-diffusion equations based on Green's function formulations. The method poses ...
Feb 12, 2024 · Most numerical schemes to solve fractional reaction–diffusion equations use finite difference schemes based on the Grünwald–Letnikov formula.
In this work a new systematic approach for the discretization of fractional reaction–diffusion equations based on Green's function formulations of the ...
A Green's function approach for the numerical solution of a class of fractional reaction–diffusion equations ... Green's function formulations to obtain numerical ...
The goal of our work is to design a neural network based method for fast numerical solution of the classic linear reaction-diffusion equation on arbitrary ...
Mar 1, 1981 · Numerical methods are applied to one-dimensional unsteady reaction-diffusion equations to seek traveling wave solutions.
May 23, 2021 · In this paper we propose a novel neural network, GF-Net, for learning the Green's functions of linear reaction-diffusion equations in an unsupervised fashion.
Missing: class fractional