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A block algorithm of Lanczos type for solving sparse systems of linear equations

机译:Lanczos型块算法求解稀疏线性方程组

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We suggest a new block algorithm for solving sparse systems of linear equations over GF(2) of the formAx =b, Ae F(N x N), be F(N x 1),where A is a symmetric matrix, F = GF(2) is a field with two elements. The algorithm is constructed with the use of matrix Pade approximations The running time of the algorithm with the use of parallel calculations is m&x.{O(dN2), O(N2)}, where d is the maximal number of nonzero elements over all rows of the matrix A, If d < Cn for some absolute constant C, then this estimate is better than the estimate of the running time of the well-known Montgomery algorithm.
机译:我们建议一种新的块算法来求解形式为Ax = b,Ae F(N x N),F(N x 1)的GF(2)上的线性方程组的稀疏系统,其中A是一个对称矩阵,F = GF (2)是具有两个元素的字段。该算法是通过使用矩阵Pade逼近来构造的。使用并行计算的算法的运行时间为m&x。{O(dN2 / n),O(N2)},其中d是整个上非零元素的最大数目。矩阵A的所有行,如果d

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