Conjugate gradient method, which can be easily computed and requires no matrix storage, is one of the most popular and useful method for solving large scale optimization problems.
共轭梯度法是最优化中最常用的方法之一，它具有算法简便、不需要矩阵存储等优点，十分适合于大规模优化问题。
The most common method is to split the categories into a four-way matrix with server and virtual machine problems on one axis and network and storage on the other axis.
最常见的方法是分类归入到四维矩阵中，矩阵的一个轴上是服务器和虚拟机，另外一个轴上是网络和存储。
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