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Variant of the Thomas Algorithm for opposite-bordered tridiagonal systems of equations

机译:对角边界三对角方程组的Thomas算法的变体

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摘要

To solve tridiagonal systems of linear equations, the Thomas Algorithm is a much more efficient method than, for instance, Gaussian elimination. The algorithm uses a series of elementary row operations and can solve a system of n equations in ( n ) operations, instead of ( n 3 ) . Many variations of the Thomas Algorithm have been developed over the years to solve very specific near-tridiagonal matrix. However, none of these methods address the situation of a system of linear equations that could easily be solved if elementary operations on columns are applied, instead of elementary operations on rows. The present paper proposes an efficient method that allows the use of elementary column operations to solve linear systems of equations using vector multiplication techniques, such as the one proposed by Thomas. Copyright © 2008 John Wiley & Sons, Ltd.
机译:为了解决线性方程的三角形系统,托马斯算法是比例如高斯消除更高的高效方法。该算法使用一系列基本行操作,并且可以解决(n)操作中的n等式的系统,而不是(n 3)。多年来已经开发了托马斯算法的许多变化,以解决非常特定的近乎三角形矩阵。但是,这些方法都没有满足线性方程系统的情况,如果应用列上的基本操作,而不是在行上的基本操作。本文提出了一种有效的方法,允许使用基本柱操作来解决使用矢量乘法技术来解决方程的线性系统,例如托马斯提出的矢量。版权所有©2008 John Wiley&Sons,Ltd。

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