松弛因子的介绍（“松弛迭代法是高斯-塞德尔迭代法的一种加速方法，基本思想是将高斯-塞德尔迭代法得到的第k+1次近似解向量与第k次近似解向量作加权平均，当权因子（即松弛因子）w选择是适当时，加速效果很明显。因此这个方法最关键的是如何选取最佳松弛因子。"）和算法。-Relaxation factor of the introduction (" relaxation method is the Gauss- Seidel iteration method for an accelerated method, the basic idea is to Gauss- Seidel iteration the first k+1 obtained for solution vector with the first k for solution vector as the weighted average, power factor (ie the relaxation factor) w option is appropriate to accelerate the effect is obvious. Therefore, this method is how to select the most critical optimal relaxation factor. " ) and algorithms.