线性方程组的容错矩阵三角化与求解

P. Fitzpatrick, Colin C. Murphy
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引用次数: 18

摘要

本文提出了一种适用于阵列结构的矩阵三角化算法求解线性方程组的容错算法。对三角化过程中出现的两种瞬态误差,采用部分或成对旋转的高斯消去和QR分解实现了容错。利用纠错码理论,采用扩展欧几里得算法求解误差的位置和值。然后使用Sherman-Morrison Woodbury公式获得线性方程组的正确解向量,而不需要有效的分解。
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Fault tolerant matrix triangularization and solution of linear systems of equations
The authors present a fault tolerant algorithm for the solution of linear systems of equations using matrix triangularization procedures suitable for implementation on array architectures. Gaussian elimination with partial or pairwise pivoting and QR decomposition are made fault tolerant against two transient errors occurring during the triangularization procedure. The extended Euclidean algorithm is implemented to solve for the locations and values of the errors defined appropriately using the theory of error correcting codes. The Sherman-Morrison Woodbury formula is then used to obtain the correct solution vector to the linear system of equations without requiring a valid decomposition.<>
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