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Adaptive operator splitting finite element method for Allen–Cahn equation
Author(s) -
Huang Yunqing,
Yang Wei,
Wang Hao,
Cui Jintao
Publication year - 2019
Publication title -
numerical methods for partial differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.901
H-Index - 61
eISSN - 1098-2426
pISSN - 0749-159X
DOI - 10.1002/num.22350
Subject(s) - superconvergence , mathematics , finite element method , estimator , nonlinear system , a priori and a posteriori , discretization , crank–nicolson method , operator (biology) , computation , mathematical analysis , algorithm , physics , biochemistry , chemistry , repressor , thermodynamics , philosophy , statistics , epistemology , quantum mechanics , gene , transcription factor
In this paper, a new numerical method is proposed and analyzed for the Allen–Cahn (AC) equation. We divide the AC equation into linear section and nonlinear section based on the idea of operator splitting. For the linear part, it is discretized by using the Crank–Nicolson scheme and solved by finite element method. The nonlinear part is solved accurately. In addition, a posteriori error estimator of AC equation is constructed in adaptive computation based on superconvergent cluster recovery. According to the proposed a posteriori error estimator, we design an adaptive algorithm for the AC equation. Numerical examples are also presented to illustrate the effectiveness of our adaptive procedure.