计算机科学
构造(python库)
相似性(几何)
迭代法
算法
数学优化
差速器(机械装置)
常微分方程
应用数学
微分方程
数学
物理
人工智能
数学分析
热力学
图像(数学)
程序设计语言
作者
Michael L. Minion,Sarah A. Williams
摘要
A new class of iterative time parallel methods for initial value ordinary differential equations are developed. Methods based on a parallel variation of spectral deferred corrections (SDC) are compared and contrasted with the parareal method. It is shown that there is a strong similarity between the serial step in the parareal algorithm and the correction step in the SDC method. This observation is used to construct a hybrid strategy combining features of both the parareal and SDC methods which can significantly reduce the computational cost of each iteration compared to parareal. A numerical example is presented to compare the effectiveness of the hybrid strategies.
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