艾伦-卡恩方程
最大值原理
操作员(生物学)
订单(交换)
应用数学
相(物质)
数学
算子分裂
计算机科学
数学优化
物理
最优控制
量子力学
转录因子
基因
抑制因子
经济
生物化学
化学
财务
作者
Xufeng Xiao,Xinlong Feng
标识
DOI:10.1016/j.matcom.2022.05.024
摘要
In this paper, a highly efficient space–time operator splitting finite element method is presented to solve the two- and three-dimensional Allen-Cahn equations. The main advantage of the proposed method is that it reduces the high storage requirements and complexity of the high-dimensional computation by splitting the high-dimensional problem into a series of one-dimensional subproblems. The proposed method is space–time second-order and can be performed in parallel. Moreover, a bound preserving least-distance modification technique is developed to force the discrete maximum bound principle in solving each one-dimensional subproblem. Finally, numerical simulations including the two- and multi-phase separations, mean curvature flows and dendritic crystal growth in two and three dimensions are provided to demonstrate the validity and accuracy of the proposed method. • A highly efficient second-order space–time operator splitting method is presented to solve the two- and three-dimensional Allen-Cahn equations in parallel. • A new least-distance modification technique is developed to force the discrete maximum bound principle of the numerical solution. • The proposed numerical method is applied to simulate multi-phase separation and dendritic crystal growth in two and three dimensions.
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