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The Flexible ILU Preconditioning for Solving Large Nonsymmetric Linear Systems of Equations

机译:求解大型非对称线性方程组的灵活ILU预处理

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The ILU factorization is one of the most popular preconditioners for the Krylov subspace method, alongside the GMRES. Properties of the preconditioner derived from the ILU factorization are relayed onto the dropping rules. Recently, Zhang et al. (Numer Linear Algebra Appl 19:555-569, 2011) proposed a Flexible incomplete Cholesky (IC) factorization for symmetric linear systems. This paper is a study of the extension of the IC factorization to the nonsymmetric case. The new algorithm is called the Crout version of the flexible ILU factorization, and attempts to reduce the number of nonzero elements in the preconditioner and computation time during the GMRES iterations. Numerical results show that our approach is effective and useful.
机译:与GMRES相比,ILU分解是Krylov子空间方法最受欢迎的前提条件之一。从ILU分解得到的预处理器的属性将传递到删除规则上。最近,张等人。 (Numer Linear Algebra Appl 19:555-569,2011)提出了一种用于对称线性系统的灵活不完全Cholesky(IC)分解。本文是关于将IC因式分解扩展到非对称情况的研究。新算法称为灵活ILU分解的Crout版本,它尝试减少GMRES迭代期间前置条件中的非零元素数量和计算时间。数值结果表明我们的方法是有效和有用的。

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