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Cholesky Factorisation of Linear Systems Coming from Finite Difference Approximations of Singularly Perturbed Problems

机译:奇异摄动问题的有限差分逼近的线性系统的Cholesky分解

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We consider the solution of large linear systems of equations that arise when two-dimensional singularly perturbed reaction-diffusion equations are discretized. Standard methods for these problems, such as central finite differences, lead to system matrices that are positive definite. The direct solvers of choice for such systems are based on Cholesky factorisation. However, as observed in MacLachlan and Madden (SIAM J Sci Comput 35:A2225-A2254, 2013), these solvers may exhibit poor performance for singularly perturbed problems. We provide an analysis of the distribution of entries in the factors based on their magnitude that explains this phenomenon, and give bounds on the ranges of the perturbation and discretization parameters where poor performance is to be expected.
机译:我们考虑离散化二维奇异摄动反应扩散方程时出现的大型线性方程组的解。这些问题的标准方法(例如中心有限差分)导致系统矩阵为正定的。此类系统选择的直接求解器是基于Cholesky因式分解的。但是,正如在MacLachlan和Madden中所观察到的那样(SIAM J Sci Comput 35:A2225-A2254,2013),这些求解器对于奇摄动的问题可能表现出较差的性能。我们基于解释这种现象的因素的大小对因素中的项分布进行了分析,并给出了预期性能较差的扰动和离散化参数范围的界限。

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