A Nonoscillatory Second-Order Time-Stepping Procedure for Reaction-Diffusion Equations
被引:3
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作者:
Lee, Philku
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Mississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USAMississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USA
Lee, Philku
[1
]
Popescu, George V.
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Mississippi State Univ, Inst Gen Biocomp & Biotechnol, Mississippi State, MS 39762 USA
Natl Inst Laser Plasma & Radiat Phys, Magurele 077126, Ilfov, RomaniaMississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USA
Popescu, George V.
[2
,3
]
Kim, Seongjai
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Mississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USAMississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USA
Kim, Seongjai
[1
]
机构:
[1] Mississippi State Univ, Dept Math & Stat, Mississippi State, MS 39762 USA
[2] Mississippi State Univ, Inst Gen Biocomp & Biotechnol, Mississippi State, MS 39762 USA
After a theory of morphogenesis in chemical cells was introduced in the 1950s, much attention had been devoted to the numerical solution of reaction-diffusion (RD) partial differential equations (PDEs). The Crank-Nicolson (CN) method has been a common second-order time-stepping procedure. However, the CN method may introduce spurious oscillations for nonsmooth data unless the time step size is sufficiently small. This article studies a nonoscillatory second-order time-stepping procedure for RD equations, called a variable-theta method, as a perturbation of the CN method. In each time level, the new method detects points of potential oscillations to implicitly resolve the solution there. The proposed time-stepping procedure is nonoscillatory and of a second-order temporal accuracy. Various examples are given to show effectiveness of the method. The article also performs a sensitivity analysis for the numerical solution of biological pattern forming models to conclude that the numerical solution is much more sensitive to the spatial mesh resolution than the temporal one. As the spatial resolution becomes higher for an improved accuracy, the CN method may produce spurious oscillations, while the proposed method results in stable solutions.
机构:
King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi ArabiaKing Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
Yousuf, M.
Furati, K. M.
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King Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi ArabiaKing Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
Furati, K. M.
Khaliq, A. Q. M.
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机构:
Middle Tennessee State Univ, Dept Math Sci, Murfreesboro, TN 37132 USAKing Fahd Univ Petr & Minerals, Dept Math & Stat, Dhahran 31261, Saudi Arabia
机构:
Univ Pau & Pays Adour, Team Project Magique 3D, Res Ctr Bordeaux Sud Ouest, INRIA, F-64013 Pau, France
Univ Pau & Pays Adour, CNRS, Lab Math Appl, UMR 5142, F-64013 Pau, FranceUniv Pau & Pays Adour, Team Project Magique 3D, Res Ctr Bordeaux Sud Ouest, INRIA, F-64013 Pau, France
Diaz, Julien
Grote, Marcus J.
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Univ Basel, Dept Math & Comp Sci, CH-4051 Basel, SwitzerlandUniv Pau & Pays Adour, Team Project Magique 3D, Res Ctr Bordeaux Sud Ouest, INRIA, F-64013 Pau, France
机构:
Sichuan Univ, Dept Math, Chengdu 610064, Sichuan, Peoples R China
Lingnan Normal Univ, Sch Math & Computat Sci, Zhanjiang 524048, Peoples R ChinaSichuan Univ, Dept Math, Chengdu 610064, Sichuan, Peoples R China