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arXiv 1503.00655math.NAcs.NA
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利用非对称鞍点矩阵近似散射振幅

Approximation of the Scattering Amplitude using Nonsymmetric Saddle Point Matrices

University of Southern Mississippi(南密西西比大学)

Amber S. Robertson, James V. Lambers

AI总结:

本文研究了用于近似散射振幅的正向和共轭系统线性方程组的迭代方法,提出了一种基于非对称鞍点矩阵的共轭梯度类迭代方法,具有实正谱,数值实验显示其比GLSQR或QMR等方法更一致,结合预条件技术后收敛更快。

摘要:

本文探讨了用于近似散射振幅的正向(A x = b)和共轭(A^T y = g)线性方程组的迭代方法。基于Gene Golub的思路,我们使用一种共轭梯度类迭代方法,针对构造出的非对称鞍点矩阵,使其具有实正谱。数值实验表明,该方法比已知的计算散射振幅的方法如GLSQR或QMR更一致。随后我们证明,当与已知的预条件技术结合时,所提出的方法在非对称系统中表现出比最先进迭代方法更快的收敛速度。

英文摘要:

In this paper we examine iterative methods for solving the forward ($A{\bf x}={\bf b}$) and adjoint ($A^{T}{\bf y}={\bf g}$) systems of linear equations used to approximate the scattering amplitude, defined by ${\bf g}^{T}{\bf x}={\bf y}^{T}{\bf b}$. Based on an idea first proposed by Gene Golub, we use a conjugate gradient-like iteration for a nonsymmetric saddle point matrix that is constructed so as to have a real positive spectrum. Numerical experiments show that this method is more consistent than known methods for computing the scattering amplitude such as GLSQR or QMR. We then demonstrate that when combined with known preconditioning techniques, the proposed method exhibits more rapid convergence than state-of-the-art iterative methods for nonsymmetric systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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