Based on the algorithm to find strongly connected nodes of a graph, this paper presents a linear time algorithm to detect modules of a fault tree.
基于在图中寻找强连接节点的算法，给出一种线性时间复杂度算法来检测故障树中的模块。
The algorithm takes a directed graph as input, and produces a partition of the graph's vertices into the graph's strongly connected components.
算法的输入是一个有向图，产生一个图的强连通分量顶点划分。
So a researching algorithm of connected area is given, a function of routing change position is defined for the distinguish of table and graph.
为此，给出了连通区域搜索算法，定义了用于区分表格与图形的行程位置转化函数。
The traditional search algorithm has been improved based on the features of connected graph so that it can calculate operation steps of any specific scheduled task automatically.
针对连接图的这一特点，改进传统的搜索算法，使之可以针对调度任务自动计算操作步骤。
An algorithm for computing the connected components of the cycle graph of the given two signed genomes is studied, which is more efficient than the primary algorithm.
从边集合出发给出了计算有向基因组的圈图连通分支的线性时间算法。
Finally, this paper gave simulated annealing algorithm for K-vertex-connected minimal augmentation on arbitrary undirected weighted graph.
最终推出了任意无向加权图K点连通最小扩充的模拟退火算法。
Finally, this paper gave simulated annealing algorithm for K-vertex-connected minimal augmentation on arbitrary undirected weighted graph.
最终推出了任意无向加权图K点连通最小扩充的模拟退火算法。
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