梯度流的高阶能量稳定离散变分导数方案

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED IMA Journal of Numerical Analysis Pub Date : 2024-09-19 DOI:10.1093/imanum/drae062
Jizu Huang
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引用次数: 0

摘要

现有的离散变分导数法是全隐式的,而且对梯度流来说只有二阶精度。本文提出了构建高阶隐式(原始)能量稳定方案和二阶半隐式(修正)能量稳定方案的框架。结合 Runge-Kutta 过程,我们可以基于离散变分导数法建立高阶无条件(原始)能量稳定方案。新的能量稳定方案是隐式的,在每个时间步都会产生一个庞大的稀疏非线性代数系统,使用不精确的牛顿求解器可以高效地求解该系统。为了避免求解非线性代数系统,我们提出了一种宽松的离散变分导数法,它可以构建二阶、线性和无条件(修正)的能量稳定方案。我们进行了多次数值模拟,以研究新提出方案的效率、稳定性和准确性。
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High-order energy stable discrete variational derivative schemes for gradient flows
The existing discrete variational derivative method is fully implicit and only second-order accurate for gradient flow. In this paper, we propose a framework to construct high-order implicit (original) energy stable schemes and second-order semi-implicit (modified) energy stable schemes. Combined with the Runge–Kutta process, we can build high-order and unconditionally (original) energy stable schemes based on the discrete variational derivative method. The new energy stable schemes are implicit and leads to a large sparse nonlinear algebraic system at each time step, which can be efficiently solved by using an inexact Newton-type solver. To avoid solving nonlinear algebraic systems, we then present a relaxed discrete variational derivative method, which can construct second-order, linear and unconditionally (modified) energy stable schemes. Several numerical simulations are performed to investigate the efficiency, stability and accuracy of the newly proposed schemes.
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来源期刊
IMA Journal of Numerical Analysis
IMA Journal of Numerical Analysis 数学-应用数学
CiteScore
5.30
自引率
4.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.
期刊最新文献
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