文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。
In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.
通过马尔可夫分析，构造了求解系统处于平稳状态概率的迭代算法，提出了计算订单的平均缺货水平的近似表达式。
Based on Markov analysis, this paper presents a recursive algorithm to compute probabilities under stable states and derives the approximate expression for order-based backorders.
文中涉及各种主要重建算，法包括准确重建，近似重建和迭代重建算法。
All the major types of reconstruction approaches are discussed, including exact algorithms, approximate algorithms, and iterative algorithms.
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