高斯消去的三个奥秘

L. Trefethen
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引用次数: 23

摘要

如果数值分析家理解什么,那肯定是高斯消去法。这是最古老、最真实的数值算法。准确地说,我说的是带有部分枢轴的高斯消去,这是在串行计算机上求解密集的、非结构化的n X n线性方程组Ax = b的通用方法。这个算法是如此成功,以至于对我们中的许多人来说,高斯消去法和Ax = b或多或少是同义词。Golub和Van Loan[3]的书中的章节标题是典型的-与“正交化和最小二乘法”,“对称特征值问题”以及其他内容一起,人们发现“高斯消去”,而不是“线性方程组”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three mysteries of Gaussian elimination
If numerical analysts understand anything, surely it must be Gaussian elimination. This is the oldest and truest of numerical algorithms. To be precise, I am speaking of Gaussian elimination with partial pivoting, the universal method for solving a dense, unstructured n X n linear system of equations Ax = b on a serial computer. This algorithm has been so successful that to many of us, Gaussian elimination and Ax = b are more or less synonymous. The chapter headings in the book by Golub and Van Loan [3] are typical -- along with "Orthogonalization and Least Squares Methods," "The Symetric Eigenvalue Problem," and the rest, one finds "Gaussian Elimination," not "Linear Systems of Equations."
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