In this thesis, the design and realization of a special cluster are presented for calculating branch and bound algorithm that can decrease the calculating time and enhance the algorithmic efficiency.
本文设计实现的一种专用于计算分支定界算法的机群计算平台，能减少分支定界算法的计算时间复杂度，提高分支定界算法的效率。
This paper presents a new leaning method for radial basis function network, minimum mean entropy difference criterion algorithm is used to get pattern cluster of training sets.
本文对径向基函数网络提出了一种新的学习算法，利用最小均熵差准则对训练样本进行模式聚类。
This paper presents a parallel algorithm for Lagrange's polynomial interpolation which is based on cluster parallel environment.
提出在机群系统并行环境下的构造拉格朗日插值多项式的一种并行算法。
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