A geo-based search tree with branching factor K is constructed by recursively using cluster method to split scenes. The atomic region is defined on the leaf node of the search tree.
通过聚类算法递归的建立了一棵K叉树,将场景划分为由树的叶节点定义的若干原子区域。
Traditional analysis use accuracy as character of the heuristic function and the function's effect is to decrease the actual branching factor.
传统的分析以启发值的精确性作为启发函数的特征,启发函数的作用相当于减小有效的分支因数。
Branching factor of search process
搜索过程中的分支系数
Moreover, the analysis has indicated that the asymptotic heuristic branching factor is same as the brute-force branching factor.
分析还表明渐进启发分支因数与遍历分支因数相同。
Branching Factor of Regular Search Trees
正则搜索树的分支因数
The branching factor of a regular search tree has a decisive effect on the time complexity of a search algorithm.
正则搜索树的分支因数对算法的复杂度有决定性影响。
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