best program for graphs

;adjvex =i; Ptredgenode->next = g->Adjlist[j].firstedge; G->adjlist[j].firstedge =Ptredgenode; }}voidDFS (Graphadjlist g,inti) {Visited[i]=TRUE; printf ("%c", g->adjlist[i].data); Edgenode*p = g->Adjlist[i].firstedge; while(p) {if(!visited[p->Adjvex]) {DFS (g,p->adjvex);//Recursive depth Traversal} P= p->Next; }}/** * Depth-First traversal*/voidDfstraverse (Graphadjlist G) { inti; for(i=0; ii) {Visited[i]= FALSE;//initialize access to array visited the element value is False } for(i=

length from vertex 1th to the rest of the points can only be reached by one edge. After the 2nd round is relaxed on all sides, the shortest path length from vertex 1th to the remaining points can only be reached by two sides.Here is the illustration:In addition, Bellman_ford can also detect whether a graph contains a negative weight loop: if there is still dst[e[i] > dst[s[i]]+w[i after n-1 wheel relaxation). The algorithm core code is as follows:#define INF 999999999for (i = 1; I Example 1: A

edge, then the side () and the side) the path P appears alternately, so P is an augmented orbit relative to M, in this way, we can replace edge 1 and 4 with edge 2 and 3. Then we can add 1 to the number of matched edge sets. The Hungarian algorithm is the same as the constant pursuit of augmented rail implementation. Obviously, if the two vertices in the bipartite graph are N and m, the maximum number of matching values should be less than or equal to min (n, m ); therefore, we can enumerate ev

the discovery and completion times of each vertex in the search process. Algorithm pseudo-code DFS (G)1 for eachVertex u? V[G]2 DoColor[u]←white3? [U]←nil4 Time←05S←?6 for eachVertex s? V[G]7 Do ifColor[s] = White8 ThenColor[s]←gray9d[s]← Time← Time+1TenPUSH (s, s) One whileS≠? A DoU←top (S) - if? v? Adj[u] andCOLOR[V] = White - ThenColor[v]←gray the? [V]←u -d[v]← Time← Time+1 -PUSH (S, v) -

possible permutations, through the above-mentioned way to calculate whether each combination is a triangle, so that the program helps us determine how many triangles the graph, and generate each kind of triangle, the concrete implementation will not repeat.Note : Some of the tools used to calculate geometry1 //to get the angle of the vector polar coordinates, p1 and P2 are the starting and ending points of the vectors.2 functionGetpolarangle (p1,p2)

The following program can be used to create a forward graph, a forward mesh, an no-direction graph, and a non-net. The graph says that if there is an edge between vertices, it is represented in the matrix with 1, and infinity is represented by 0. In the network, the Edge is the corresponding weight value.The traversal of graphs can be divided into depth-first traversal and breadth-first traversal.The idea o

Breadth-First traversal (Breadth-first traverse,bfts), called breadth-first search, is a traversal strategy for connected graphs. It is called the breadth-first traversal because his mind begins with a vertex V0, radiating the first to traverse the wider area around it.Algorithm description Given figure g= (v,e). V is a collection of nodes, and E is a collection of edges.Set an Access flag bit vflag (i) indicates the access of node I,

a simple diagram:1. Duplicate edges exist2. Allow vertices to connect to themselves through an edgeFull pictureNo direction full picture: An edge exists between any two pointsDirected full graph: Two arcs in the opposite direction between any two pointsSub-chartg = (V, e) g ' = (v ', E ')V ', E ' is a subgroup of V, E, then G ' is a sub-graph of G, if V (g ') = V (g), then G ' is the generation of G-sub-graphconnectivity, connected graphs and connect

program for maximum matching of bipartite graphs [Num h] = maxnum (g); % g is the bipartite graph ing matrix %. A self-written maxnum function is called. The return value num is the maximum value, and h is the hij (not unique) maxnum. m content, which uses the Hungary algorithm also uses a recursive incpath function to find the augmented path function [num h] = maxnum (g) s = size (g ); global G_h; % matri

Reference: http://www.dyn4j.org/2010/04/gjk-gilbert-johnson-keerthi/As with the SAT (split axis) method, the GJK can determine whether two convex shapes overlap. Compared to the SAT, GJK is able to handle all the graphics in the same way, while the SAT determines that two different shapes (polygon-polygon/polygon-circle/Circle-circle) are treated differently.GJK principle: If the Minkowski of two convex graphs contains the origin, then these two

The chart is now used more and more in a form of a report, using the chart than the general display of the obvious advantages. Obviously, when reporting, it would be better to have more eye-catching graphs in the PPT than just the "tadpoles" in the column. The graphs and the figures are actually a double-sided supplement, and in the same time as the graph is used to analyze the figures, the figures are also

create information graphs and promote it. Infomation graphic is abbreviated as infographic. In the past, the most familiar information charts were statistical charts (bar charts, pie charts, etc.) and flowcharts. Nowadays, the concept of big data is getting hotter and hotter, and data visualization is also getting hotter, data visualization is the process of creating and releasing information graphs. The m

Reproduced in the full text of the http://blog.csdn.net/spaceyqy/article/details/39024675 if the author thinks wrong, will be deleted Overview The minimum spanning tree of graphs is not much correlated with the shortest path, but the idea of greedy algorithm is applied to some extent, but the difference between them is obvious. difference: The minimum spanning tree can ensure that the first tree (for n vertices of the graph only n-1 edge), and then e

/displaychart?filename=" + filename; %> The results of this JSP program are shown below Figure I 　　Advanced properties of two-column graphs The above procedure is simple, but the resulting histogram is also very simple. More often, we may need different effects. Org.jfree.chart.ChartFactory this factory class has Createbarchart, Createstackedbarchart, Createbarchart3d, Createstackedbarchart3d these sever

Pie chart | Histogram when our software needs a variety of pie and bar graphs to represent data, we might think of graphics controls or Third-party controls in offices, but now third-party controls are mostly registered, and some free controls will have developers ' tags. For graphical controls that use offices, they cannot be well controlled in a program and are less easy to use, so here's how you can use

. For example, the word "ACM" can be followed by the word "Motorola. Your task isWrite a program, read a group of words, and then determine whether the first letter of each word can be reorganized before a singleOnly when the last letter of a word is the same can the door be opened. Each word has only two letters at the beginning and end, and each word can be regarded as a directed edge connecting the first and last two letters (from the first letter

looked for, the results were not found. depressed, disappointment, or rely on their own bar, yesterday to Tinker 2, 3 clock, think of the focus diagram in the parent class loop Insert node method and then constantly change the width of the container, try not to succeed, and then think that can constantly change the focus of the margin results are not successful. Yesterday also thought of other methods, of course, the results are the same, if the success of yesterday, there will not be today t

Disclaimer: All of the stored image structures mentioned in this article are implemented in static arrays, not linked lists.0 What is a chain-forward starThe chain forward star is a kind of diagram structure, such as forward star, adjacency matrix, edge table, adjacency table and so on.1. What are the advantages of a chain-forward star?Chain forward star: High space utilization, often used in various competitions.Adjacency matrix: Need to open n*n space, in all kinds of competitions are often ca

Graph (graph) concept 图(Graph)是一种比线性表和树更为复杂的数据结构。 线性结构：研究数据元素之间的一对一关系。除第一个和最后一个元素外，任何一个元素都有唯一的一个直接前驱和直接后继。 树结构：是研究数据元素之间的一对多的关系。每个元素对下(层)可以有0个或多个元素相联系，对上(层)只有唯一的一个元素相关，数据元素之间有明显的层次关系。Graph structure: A study of many-to-many relationships between data elements. In this structure, there may be a relationship between any two elements. That is, the relationship between nodes can be arbitrary, and any element in the diagram may be related.The graph is widely used and has infiltrated into other br

Visibility: Information graphs and visual disseminationOriginal title of basic information: the power of infographics: using pictures to communicate and connect with your audience Author: (plus) Mark smiciklas Translator: Xiang Tingting Zhang Dongning book series name: turing Interactive Design Series Press: People's post and telecommunications Press ISBN: 9787115313805 Release Date: May 2013 publication date: 16 open pages: 1 release: 1-1 category: c