2011
DOI: 10.33899/csmj.2011.163605
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Comparison of Finite Difference Solution Methods for Reaction Diffusion System in Two Dimensions

Abstract: In this paper, we study three types of finite difference methods, to find the numerical solution of reaction difference systems of PDEs in two dimensions. These methods are ADE, ADI and Hopscotch, where Gray-Scott model in two dimensions has been considered. Our numerical results show that the ADI method produces more accurate and stable solution than ADE method and Hopscotch method is the best because does not involve any tridiagonal matrix. Also we studied the consistency, stability and convergence of the ab… Show more

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Cited by 10 publications
(8 citation statements)
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“…ahol az i index a magasabb dimenziójú, inhomogén rendszer celláit "címkézi". i I -n az i -edik cellával szomszédos cellák indexeinek a halmazát értjük, tehát az iménti (20) egyenletben szereplő összegzés a megfelelő szomszédos cellákra történik. A (20) kifejezés megadható egy tömörebb mátrixegyenlet formájában is:…”
Section: Egytől Magasabb Dimenziójú Inhomogén Rendszer Nem Egyenközű ...unclassified
“…ahol az i index a magasabb dimenziójú, inhomogén rendszer celláit "címkézi". i I -n az i -edik cellával szomszédos cellák indexeinek a halmazát értjük, tehát az iménti (20) egyenletben szereplő összegzés a megfelelő szomszédos cellákra történik. A (20) kifejezés megadható egy tömörebb mátrixegyenlet formájában is:…”
Section: Egytől Magasabb Dimenziójú Inhomogén Rendszer Nem Egyenközű ...unclassified
“…In light of the aforementioned data, it is reasonable to assume that explicit algorithms, particularly if they have improved stability qualities (see, for example, [25][26][27][28][29][30][31][32]), will have a growing comparative advantage over time. We started working on new explicit schemes a couple of years ago for determining heat conduction in any number of spatial dimensions.…”
Section: Introductionmentioning
confidence: 99%
“…One can observe that the trend toward increasing parallelism in high-performance computing is reinforced, since unfortunately the CPU clock frequencies nowadays increase much slower than a few decades ago [17,18]. That is one of the reasons why we believe that the importance of easily parallelizable explicit and unconditionally stable methods is going to increase, even if currently not too many scholars work with them (see [19][20][21][22][23][24][25][26] for examples).…”
Section: Introductionmentioning
confidence: 99%