In this paper, a memory technique for the row-action method is given. Experiments show that this method is efficient in solving huge and sparse linear systems.
本文对行处理算法的存储技术进行了一些有益的探讨，给出了一种较为合理的行处理算法解大型稀疏线性方程组的存储分配方法。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
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