用初等方法得到单叶函数族S中函数平均模数有关的一个较精密估计，改进了现有结果。
In this paper, applying a certain elementary methods, we obtain a more precise estimation related to the mean modulus of the univalent functions in class S. Thus the old result is improved.
采用环形数据结构有效存储大规模数据点，通过计算点到平均平面的有限误差距离进行压缩点判别。
It used ring data structure to save massive data effectively. Bounded error-distances from vertices to average plane were computed to find prime vertices for removal.
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