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首页> 外文期刊>SIAM Journal on Scientific Computing >Nonsymmetric preconditioner updates in newton-krylov methods for nonlinear systems
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Nonsymmetric preconditioner updates in newton-krylov methods for nonlinear systems

机译:非线性系统的Newton-krylov方法中的非对称预处理器更新

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摘要

Newton-Krylov methods, a combination of Newton-like methods and Krylov subspace methods for solving the Newton equations, often need adequate preconditioning in order to be successful. Approximations of the Jacobian matrices are required to form preconditioners, and this step is very often the dominant cost of Newton-Krylov methods. Therefore, working with preconditioners may destroy the "Jacobian-free" (or matrix-free) setting where the single Jacobian-vector product can be provided without forming and storing the element of the true Jacobian. In this paper, we propose and analyze a preconditioning technique for sequences of nonsymmetric Jacobian matrices based on the update of an earlier preconditioner. The proposed strategy can be implemented in a matrix-free manner. Numerical experiments on popular test problems confirm the effectiveness of the approach in comparison with the standard ILU-preconditioned Newton-Krylov approaches.
机译:牛顿-克雷洛夫方法是类牛顿方法和克雷洛夫子空间方法的组合,用于求解牛顿方程,通常需要适当的预处理才能成功。雅各比矩阵的近似值是形成预处理器所必需的,这一步通常是牛顿-克里洛夫方法的主要成本。因此,使用预处理器可能会破坏“无雅可比”(或无矩阵)设置,在该设置中可以提供单个雅可比矢量积而无需形成和存储真实雅可比的元素。在本文中,我们基于早期预处理器的更新,提出并分析了非对称雅可比矩阵序列的预处理技术。所提出的策略可以以无矩阵的方式实现。与标准的ILU预处理的Newton-Krylov方法相比,对流行的测试问题进行的数值实验证实了该方法的有效性。

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