离散化
数学
稳健性(进化)
标量(数学)
应用数学
趋同(经济学)
有限差分
有限差分法
数学分析
几何学
经济增长
生物化学
基因
经济
化学
作者
Xiaoli Li,Jie Shen,Hongxing Rui
摘要
We present in this paper construction and analysis of a block-centered finite difference method for the spatial discretization of the scalar auxiliary variable Crank-Nicolson scheme (SAV/CN-BCFD) for gradient flows, and show rigorously that the scheme is second-order in both time and space in various discrete norms. When equipped with an adaptive time strategy, the SAV/CN-BCFD scheme is accurate and extremely efficient. Numerical experiments on typical Allen-Cahn and Cahn-Hilliard equations are presented to verify our theoretical results and to show the robustness and accuracy of the SAV/CN-BCFD scheme.
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