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Low-Rank Update of the Restricted Additive Schwarz Preconditioner for Nonlinear Systems

机译:非线性系统受限加性Schwarz预处理器的低阶更新

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We presented a very simple procedure to update the RAS preconditioner without loss of parallelism. This update leads to a decrease of the number of Krylov iterations, especially for the time steps that requires the largest number of Newton iterations. However, further developments are needed to achieve an efficient method. This quasi-Newton update of the preconditioner should be used with a well-parametrized restarting procedure, since the efficiency of the preconditioner decreases from one iteration to another. A natural extension of this work is to use higher-rank updates, like the multisecant update. Techniques such as partial updates, or relaxed updates should also be investigated since they are expected to significantly improve the numerical efficiency of the updated preconditioner.
机译:我们提出了一个非常简单的过程来更新RAS预调节器,而不会丢失并行性。此更新导致Krylov迭代次数减少,尤其是对于需要最大数量Newton迭代的时间步而言。然而,需要进一步的发展以实现有效的方法。预处理程序的这种准牛顿更新应与参数合理的重新启动过程一起使用,因为预处理程序的效率会从一次迭代降低到另一次迭代。这项工作的自然扩展是使用更高级别的更新,例如多安全更新。还应研究诸如部分更新或宽松更新之类的技术,因为它们有望显着提高已更新的预处理器的数值效率。

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