...
首页> 外文期刊>Journal of Scientific Computing >A Numerical Framework for Integrating Deferred Correction Methods to Solve High Order Collocation Formulations of ODEs
【24h】

A Numerical Framework for Integrating Deferred Correction Methods to Solve High Order Collocation Formulations of ODEs

机译:积分延迟校正方法求解ODE高阶配置公式的数值框架

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Recent analysis and numerical experiments show that the deferred correction methods are competitive numerical schemes for time dependent differential equations. These methods differ in the mathematical formulations, choices of collocation points, and numerical integration or differentiation strategies. Existing analyses of these methods usually follow traditional ODE theory and study each algorithm's convergence and stability properties as the step size varies. In this paper, we study the deferred correction methods from a different perspective by separating two different concepts in the algorithm: (1) the properties of the converged solution to the collocation formulation, and (2) the convergence procedure utilizing the deferred correction schemes to iteratively and efficiently reduce the error in the provisional solution. This new viewpoint allows the construction of a numerical framework to integrate existing techniques, by (1) selecting an appropriate collocation discretization based on the physical properties of the solution to balance the time step size and accuracy of the initial approximate solution; and by (2) applying different deferred correction strategies for reducing different components in the error of the provisional solution. This paper discusses properties of different components in the numerical framework, and presents preliminary results on the effective integration of these components for ODE initial value problems. Our results provide useful guidelines for implementing "optimal" time integration schemes for general time dependent differential equations.
机译:最近的分析和数值实验表明,延迟校正方法是与时间有关的微分方程的竞争数值方案。这些方法在数学公式,搭配点的选择以及数值积分或微分策略方面有所不同。这些方法的现有分析通常遵循传统的ODE理论,并随着步长的变化研究每种算法的收敛性和稳定性。在本文中,我们通过将算法中的两个不同概念分离开来,从不同的角度研究了递延校正方法:(1)搭配解的收敛解的性质;(2)利用递归校正方案的收敛过程迭代高效地减少临时解决方案中的错误。这种新观点允许通过以下方法构建一个数值框架,以整合现有技术:(1)根据解的物理性质选择适当的搭配离散化,以平衡时间步长和初始近似解的准确性;通过(2)应用不同的递延校正策略来减少临时解决方案的误差中的不同分量。本文讨论了数值框架中不同组件的属性,并提供了有关这些组件对ODE初值问题的有效集成的初步结果。我们的结果提供了一些有用的指导,用于为一般与时间相关的微分方程实现“最佳”时间积分方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号