用半边及其结合性表示各种局部约束，将机器可选制造单元设计问题转化为基于半边图的组合优化问题，即计划路径可选的半边图划分问题。
Half edge and its assembly can represent various constraints, Machine redundant manufacturing cell design convert to a combination optimal problem based on half edge g…
该方法既保留了图象的边缘，避免了以往图象分类中出现的边缘模糊问题，又有效地对图象进行了区域划分。
This method not only preserves the edge of the image, avoids the problem of edge blurring in image classification, but also is effective in region division.
接着把这一特殊的指派问题用有向无回路图表示出来，从而使指派问题的求解转化为求解有向无回路图的划分问题。
Then the assignment problem is illustrated with the directed acyclic graphs. The assignment problem becomes the partition problem of directed acyclic graphs.
再次，由于该社区挖掘技术能够解决以往社区边界模糊的问题，使得所挖掘的社区唯一，所以可以把该技术应用到图的划分问题上。
Thirdly, because the Web community mining technology can overcome the ambiguous boundary problem and make the community mined unique, the technology can be applied into the partitioning of the graph.
建立了配电网络重构的图的多划分模型，提出了基于图的谱划分的算法，用于求解大规模配电网络的馈线间重构问题。
This paper proposes a novel spectral partitioning algorithm, viz. recursive spectral bisection, for weighted graph partitioning that models large scale distribution feeder reconfiguration problem.
根据从接收节点得到的反馈信息，提出了一个图模型来刻画基于网络编码的重传问题，并将发送节点的重传策略模型化为图中的最小团划分。
The algorithm converts surface matching problem into maximum weight clique searching problem in graph theory, and the optimal point correspondence set is represented by the maximum weight clique.
将表示电路的超图转化成带权值的无向图，从而将电路二等分问题转化成图的划分问题。
The hypergraph denoting circuit is transformed into a weighted undirected graph, so the problem of circuit bisection is transformed into the graph partition problem.
七号信令网拓扑优化中存在高级信令转接点（HSTP）的A/B平面划分问题，其可归纳为一类新的图的划分问题。
There is an issue of A/B plane partition of HSTPs in the topology optimization of CCS7 network. It can be formulated into a new kind of graph partition problem.
七号信令网拓扑优化中存在高级信令转接点（HSTP）的A/B平面划分问题，其可归纳为一类新的图的划分问题。
There is an issue of A/B plane partition of HSTPs in the topology optimization of CCS7 network. It can be formulated into a new kind of graph partition problem.
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