2022
DOI: 10.1016/j.matcom.2022.04.003
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Positivity and boundedness preserving nonstandard finite difference schemes for solving Volterra’s population growth model

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Cited by 10 publications
(6 citation statements)
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“…Nowadays, NSFD schemes have become an efficient approach for numerically solving real-world problems (see, for example, [1,2,4,5,10,13,14,15,31,32,47,48,57,58]). Recently, we have developed the Mickens' methodology to construct NSFD schemes for mathematical models of phenomena and processes coming from sciences and technology like biology, ecology, or other natural sciences [16,17,18,19,20,21,25,26,27,28,29].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, NSFD schemes have become an efficient approach for numerically solving real-world problems (see, for example, [1,2,4,5,10,13,14,15,31,32,47,48,57,58]). Recently, we have developed the Mickens' methodology to construct NSFD schemes for mathematical models of phenomena and processes coming from sciences and technology like biology, ecology, or other natural sciences [16,17,18,19,20,21,25,26,27,28,29].…”
Section: Introductionmentioning
confidence: 99%
“…For these reasons, we slightly propose a modified time discretization of system () which gives explicit solutions and remains non‐negative for every time step. Our modified time‐stepping method bases on ideas from non‐standard finite‐difference methods by Mickens [16] and Hoang [17]. There are different possibilities of constructing non‐standard finite‐difference schemes for a dynamical system boldYfalse(tfalse)=boldF()t,boldYfalse(tfalse)$$ {\mathbf{Y}}^{\prime }(t)=\mathbf{F}\left(t,\mathbf{Y}(t)\right) $$.…”
Section: Introductionmentioning
confidence: 99%
“…There are different possibilities of constructing non‐standard finite‐difference schemes for a dynamical system boldYfalse(tfalse)=boldF()t,boldYfalse(tfalse)$$ {\mathbf{Y}}^{\prime }(t)=\mathbf{F}\left(t,\mathbf{Y}(t)\right) $$. Firstly, we can approximate the left‐hand side time‐continuous first derivative by an approximation yfalse(tfalse)yn+1ynφfalse(hfalse)$$ {y}^{\prime }(t)\approx \frac{y_{n+1}-{y}_n}{\varphi (h)} $$ with an appropriate function φfalse(hfalse)$$ \varphi (h) $$ under appropriate conditions with regard to the function φ$$ \varphi $$ [16, 17]. Secondly, we can use non‐local approximations for the right‐hand side function boldF()t,boldYfalse(tfalse)$$ \mathbf{F}\left(t,\mathbf{Y}(t)\right) $$, that is, this term does not solely depend on one time point in the time‐discrete case, but we use at least two time‐discrete function values, for example, yn$$ {y}_n $$ and yn+1$$ {y}_{n+1} $$.…”
Section: Introductionmentioning
confidence: 99%
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“…During the past several decades, NSFD schemes have been strongly developed by mathematicians and engineers and have become one of the most powerful methods for solving differential equations. Nowadays, NSFD schemes have been widely used for ordinary differential equations, partial differential equations, delay differential equations, fractional differential equations and integro-differential equations (see, for instance, [1,2,6,7,8,9,12,16,19,20,28,29,30,33,35,36,41,50,59,60,61,62,63,64,65,66,67,68,69,70,71,71,72,73,74,75,78,79,80,81,82,83,86,87,88,89] and references therein). Here, we refer the readers to [62,…”
Section: Introductionmentioning
confidence: 99%