sharepoint graphs

////////////////////////////////////////////////////////////adjacency table storage for graphs//////////////////////////////////////////////////////////#include #includeusing namespacestd;//adjacency table notation for graphs#defineMaxvertexnum 100enumGRAPHTYPE{DG, UG, DN, UN};//Forward Graph, non-direction graph, mesh graph, non-meshtypedefstructnode{intADJV;//adjacency Point Field structNode *next;//po

Bipartite graphs are an important part of graph theory and are widely used in real life. For example, the problem of matching must be solved by a bipartite graph. However, the application of the bipartite graph is not only used for these intuitive matching problems, but also has many practical problems that can be solved by the nature of the bipartite graph. For example: how to install the least number of cameras in a supermarket to cover the entire s

InformationArcnode*Firstarc; // point to the first arc attached to the vertex} Vnode, adjlist [max_vertex_num];Typedef struct{Adjlist vertices;IntVexnum, arcnum; // Number of vertices and arcs in the graphIntKind; // The type of the graph} Algraph;3. Cross-linked list storage representation of Directed Graphs Orthogonal list is another chained storage structure of Directed Graphs. It can be seen as a linke

Tag: the adjacency matrix of graphs represents the array storage of graphs [This is my own study notes, welcome reprint, but please specify the source:http://blog.csdn.net/jesson20121020] An adjacency matrix is a matrix that represents an adjacent relationship between vertices in a vertex. G= (V,e) is a graph with n vertices, if (VI,VJ) is E, the element corresponding to the adjacency mat

Reprint: One minute teaches you to use graphs and histograms in Google charts Original address: http://2sitebbs.com/thread-671-1-1.html No doubt Google's charting API is awesome, and a very stable and flexible charting solution. Here's a simple example, Designed to help quickly integrate friends who need to use Google charts, especially its graphs (Linechart) and histograms (Colchart). The detailed ste

join to the spanning tree. In turn, repeat the operation N-1 times until all vertices are added to the spanning tree.Flow of the prim algorithm:Input data:Operation Result:time Complexity O (n^2) , the time complexity of the whole algorithm is reduced to O (MLOGN) If the time complexity of each edge is O (LOGM), and then the adjacency table is used to store the graph. If all edge weights are not equal, the minimum spanning tree is unique.The Kruskal algorithm is a step-by-step approach to mergi

A graph is a flexible data structure that is typically used as a model to define relationships or connections between objects. Objects are represented by vertices ( V ), and relationships or associations between objects are represented by edges () of the graph E .Graphs can be divided into the direction of the graph and the non-direction diagram, generally used G=(V,E) to represent the diagram. An adjacency matrix or adjacency table is often used to d

Reprinted from http://blog.csdn.net/jnu_simba/article/details/8867687 algorithm: Graph depth First Search (Depth)Category: Data structure and algorithm 2013-04-30 09:19 1723 people read comments (2) Favorites Search by traversal depth of the report map The traversal of the graph is similar to the traversal of the tree, and we want to go through the rest of the graph from one vertex in the graph, and make each vertex accessible only once, a process called graph traversal (Traverse graph). There

The graph consists of a poor non-empty vertex set V and a side e. Each edge is a point pair (v,w). The data elements in the diagram are called vertices . If the point pair is ordered (the next point of each point is fixed), then the graph is called a forward graph , otherwise there is no graph . The value associated with the edge of the graph is called the weighted value , and the weighted graph is called the Net (network ). Simple concepts related to graphs