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稠密方阵求逆及线性方程组求解的无回代心动算法
引用本文:殷新春,陈崚.稠密方阵求逆及线性方程组求解的无回代心动算法[J].江苏大学学报(自然科学版),1993(6).
作者姓名:殷新春  陈崚
作者单位:扬州师范学院数学系,扬州师范学院数学系 江苏省扬州市 225002,江苏省扬州市 225002
基金项目:江苏省教委自然科学基金资助项目
摘    要:本文给出线性方程组求解、方阵求逆的三种无回代心动算法,与文献中的算法相比,不但处理单元统一、数据流动更有规则性,而且具有更小的时空复杂度。对于n阶线性方程组的求解,阵列中有n(n+3)/2个处理单元,需3n—1个单位时间.对于n阶非奇异稠密方阵的求逆,处理时间为4n-2个单位时间;使用Gauss-Jordan消去法时,需n(n+1)个处理单元,使用邻主元素法及Givens旋转法时,需要n(3n+1)/2个处理单元。

关 键 词:线性方程  并行处理  矩阵/心动阵列

Systolic Algorithms for Dense Matrix Inversion and Solving Linear Systems Without Back Substitution
Yin Xinchun Chen Ling.Systolic Algorithms for Dense Matrix Inversion and Solving Linear Systems Without Back Substitution[J].Journal of Jiangsu University:Natural Science Edition,1993(6).
Authors:Yin Xinchun Chen Ling
Institution:Yin Xinchun Chen Ling
Abstract:Systolic algorithms are given for dense matrix inversion and solution of linear systems without back substitution. Compared with the ones presented in the references listed, the present ones have the merits of uniform processors, regular data movements and lower time-space complexity. For solving linear system with n unknowns, n(n+3)/ 2 processors and 3n-1 time units are needed. For nx n dense matrix inversion, the algorithm needs 4n-2 time units and n(n+l) processors when Gauss-Jordan elimination is used or n(3n+l)/2 processors when Givens rotation used.
Keywords:linear equations  parallel processing  matrix / systolic array
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