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连通分量

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Recursive algorithm for a directed graph strongly connected component, the input format such as compression packag...

递归算法求一个有向图的强连通分量,输入格式如压缩包中data4.txt,第一行为顶点个数。

The model was preprocessed to assure the regulation of facets, create the dual graph of it, and then adapt Reeb Graph to extract the skeleton which contains enough information of the model, such as gesture and topological features, to be able to be used as descriptor of 3D model retrieval.

通过对模型进行一定的预处理保证面片的规则,定义面片间距离计算方法,创建模型的对偶图,识别连通分量,在连通分量上应用Reeb图的计算思想抽取原模型的骨架。试验表明,该算法具有较好的计算效果和效率,最终的骨架保存了模型的拓扑连通性以及姿态,可用于基于内容的三维模型检索时的特征描述符。

Next, we use the thinned connected components to locate the Finder Pattern of MaxiCode, and we find the Orientation Pattern of Maxicode to rotate the code into the right position.

对二值化后的影像,利用细线化处理后的结果,寻找最大的连通分量,以定位牛眼码的探测图案。

Bipartite matching is adopted to adjust the relations between the constraint equations and variables, and then the matching result is mapped to a data structure named Engineering Constraint Graph. A solving sequence is achieved by topology sort and strong connected component condensation of ECG.

先使用二分图最大匹配调整约束方程与自变量之间的匹配关系,然后将匹配结果映射为工程约束图,通过对工程约束图进行强连通分量凝聚和拓扑排序,得到求解序列。

In this paper a hierarchical optimized memory method, which combines the SAS scheduling sequence with Non-SAS scheduling sequence, is proposed to solve the optimized memory problem. In the method, data dense sub graph and strongly connected sub graph are defined for data dense structures and loops, and by the principle of consuming tokens first, a Non-SAS heuristic algorithm is designed for optimized memory of these sub graphs.

文中提出了将SAS和Non-SAS类型调度算法相结合的层次化的存储优化方法,定义了数据密集分量和强连通分量来描述环和数据密集处理结构,并依据数据优先消耗原则设计了启发式的Non-SAS调度算法对分量进行存储优化。

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