best program for graphs

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STARUML series, static and dynamic graphs, use case diagrams, Class diagrams "PS: Familiarize yourself with STARUML"

returns a type, self-invocation, selfstimulus, and, of course, does not force the return type.Samples Step by step:Sample1.sample2Sample3Sample4:create a WBS taskSeven. Collaboration diagram collaboration diagramCreate a collaboration diagram, add an object, use link on the relationship, click on link above add forward stimulus or reverse stimulusEight. State transition diagram Transition diagramState change of the stated object1. Create method: Add state transition Diagram Statechart Diagram,

hdu1569 Check Number (2) The maximum point weight independent set of two graphs

Test instructions: Chinese question.Idea: First, according to the sum of the horizontal ordinate and the odd conversion into a bipartite graph, for (I, j) and it only conflict (I-1, J) (I, j-1) (i + 1, j) (I, J + 1) 4 squares,Parity is reversed. If i + j is odd then and the surrounding 4 points are connected, then the problem is converted to a bit of power and-the minimum point weight coverage of the binary graph. We focus on the minimum point weight coverageModel, the establishment of super-sta

POJ1466 Girls and Boys "the maximum independent set of two graphs"

Topic Links:http://poj.org/problem?id=1466Main topic:there are n students, some of whom are ambiguous, only the person who knows can form a collection. Q: you can compose up toThe number of collections makes the students between these collections have nothing to do with.Ideas:Select M points from n plots, so that there is no edge between the M points 22, the maximum M is how much. Maximum Independence of the binary chartSet issues. Should be the boys, girls on each side of the building two-poin

Double connected components of POJ 3352 undirected graphs

, you were assured the current configuration, it was possible to travel between any and tourist attractions.OutputOne line, consisting of a integer, which gives the minimum number of roads that we need to add.Sample InputSample Input 121 94 109 10Sample Input 23 31 22 31 3.Sample OutputOutput for sample input 12Output for sample input 20SourceCCC 20071#include 2#include 3#include 4#include 5#include 6#include 7 using namespacestd;8 Const intmaxn=1007;9 intN,M,LOW[MAXN],SUM,DEGREE[MAXN],MP[MAXN][

Depth traversal and breadth traversal of graphs

The study of the data structure of Min, in which the diagram in the chapter of graph theory, actually resembles a tree traversal, is applied to two very interesting structures: stacks and queues. In the process of deep traversal, it is necessary to record the path of the coming time, and in traversing to the last branch of the graph, we need to pass out the stack, get to the upper level of the node, in the process of breadth traversal, the current access when the node into the queue, when all th

echarts– The Big Data era, redefining data graphs

can create the new type you need with simple dynamic registration.Personalized CustomizationThe designer's configurable options combine multi-level control design to meet the individual needs of highly customized.Event interactionCan capture the user interaction and data change events to achieve a diagram with the outside world linkage. Try This»Related articles that may be of interest to you The JQuery effect "attached source" is very useful in website development Share 35 amazing

Chartdirector Application Notes (can provide graphs for both Web and QT MFC)

(msg.lightdirection)); 23//Set X-axis mark (C->xaxis ()->setlabels ( Stringarray (lbs, (int) (sizeof (lbs)/sizeof (Lbs[0])))); 25//Set the x-axis marker displacement. C->xaxis ()->settickoffset (0.5); 27//Set X, y-axis caption Description of font and font size of C->xaxis ()->settitle (Msg.xTitle.c_str (), "Timesbi.ttf", 8); C->yaxis ()->settitle (Msg.yTitle.c_str (), "Timesbi.ttf", 8), 30//set X, Y axis width, here is 2 pixels wide. C->xaxis ()->setwidth (2), C->yaxis ()->setwidth (2);Summary

Maximum matching of binary graphs--Hungarian algorithm

Algorithmic Complexity (V*E)/* **************************************************************************Binary Graph matching (DFS implementation of Hungarian algorithm)Initialization: g[][] Division of vertices on both sidesBuild G[i][j] means that the i->j has a forward edge, which is the right side to the left.G is initialized to 0 without a side connectionUN is the number of vertices to match to the left, and VN is the number of vertices matching the rightCall: Res=hungary (); Output maximu

DIV+CSS naming rules for Web page cut graphs

: Menu submenu: submenu title: Title Abstract: summary(3)functionLogo: LogoAd: BannerLogin: LoginLogin Strip: LoginbarRegistration: RegsiterSearches: SearchFunctional area: ShopCaption: TitleJoin: JoinusState: StatusButton: BTNScrolling: ScrollTabs page: TabArticle List: ListHint Message: MSGPresent: CurrentTip: TipsIcons: IconNote: noteGuide: GuildServices: ServiceHotspot: HotPress: NewsDownload: DownloadVote: VotePARTNER: PartnerLinks: LinkCopyrights: Copyright(four) class naming:(1) Color: Us

Connectivity of graphs: a strong connected-tarjan algorithm

Not early, the first template, do some questions to analyze it; the strongly connected Tarjan algorithm + forward star template is as follows: Const intmaxn= the;Const intmaxm=10010;structedge{intTo,next;}; Edge E[MAXN];intHead[maxn],ecou;intStack[maxn],top;intBelong[maxn],lfcou;intIndex;intDFN[MAXN],LOW[MAXN];BOOLINSTACK[MAXN];voidTarjan (intu) { intv; Low[u]=dfn[u]=++Index; Stack[top++]=u; Instack[u]=1; for(inti=head[u];i!=-1; i=E[i].next) {v=e[i].to; if(!Dfn[v]) {Tarja

Maximum matching of binary graphs (Hungarian algorithm)

match:(1) Minimum vertex coverage of a binary graph: with the fewest points, each edge is associated with at least one point.Maximum number of matches = minimum point coverage (Konig theorem)(2) The largest independent set of the binary graph: Select the most points in the graph, so that any selected two points are not connectedMaximum number of matches = maximum Independent number(3) Minimum path coverage: For a DAG (directed acyclic graph), select the minimum path so that each vertex belongs

A minimum cut stoer_wagner algorithm for non-direction graphs

$ if(i = = N-1)//If | a|=| V| (all points are added a), endPanax Notoginseng { - Const ints = v[pre], t = v[k];//make the second-to-last point (V[pre]) to S, and the final point with a (V[k]) is T themin_cut = min (min_cut, w[t]);//The s-t min Cut is w (a,t), updated with its min_cut + for(intj =0; J //contract (S, T) A { theG[S][V[J]] + =G[v[j]][t]; +G[v[j]][s] + =G[v[j]][t]; - } $V[K] = V[--n];//Delete th

Topological ordering, critical path and shortest path algorithm of graphs--C + + implementation

vertices, as the graph is easy to know. The algorithm is as follows:Template Three: Shortest path (Dijkstra algorithm) The shortest path problem is a classical algorithm problem in graph theory research, which aims to find the shortest path between two nodes in graph (composed of nodes and paths). The Dijkstra algorithm uses a dist[] array to store the cost of reaching a point, corresponding to its subscript, and a path[] array to store the subscript of a vertex that passes before it reaches th

The shortest path algorithm for graphs Floyd

Multi-source Shortest path algorithmTime complexity O (N3)Simple modification of transitive closures for a graph to be obtained#include   The shortest path algorithm for graphs Floyd

"Go" method of various shapes and graphs written in CSS code

: ""; position: absolute; top: 0; left: 0; height: 80px; width: 80px; background: red; -webkit-transform: rotate(135deg); -moz-transform: rotate(135deg); -ms-transform: rotate(135deg); -o-transform: rotate(135deg); transform: rotate(135deg);}19. Diamond#cut-diamond { border-style: solid; border-color: transparent transparent red transparent; border-width: 0 25px 25px 25px; height: 0; width: 50px; position: relative; margin: 20px 0 50px 0;}#cut-diamond:after { conten

Using PHP thumbnails and clipping graphs

Using PHP thumbnails and clipping graphs Api: Resource Imagecreatetruecolor(int $width, int $height) Magecreatetruecolor () returns an image identifier representing a black image with a size of x_size and y_size. Whether this function is defined depends on the version of PHP and GD. From PHP 4.0.6 to 4.1.x as long as the GD module has been loaded this function has been in existence, but when the GD2 is not installed, PHP will send a fatal error and e

Graph Theory-topological sorting of Directed Graphs

. Graph_topo.java Package COM. mapbar. structure;/***** class graph_topo ** description topological sorting of Directed Graphs ** company mapbar ** author chenll E-mail: chenll@mapbar.com ** version 1.0 ** date 2011-11-17 03:38:27 * // defines the node class vertex {public char label; Public Boolean isvisited; Public vertex (char label) {This. label = label; this. isvisited = false ;}} public class graph_topo {// vertex array private vertex [] varr;

[ZOJ 1015] Fishing Net (the determination of MCs chord graphs)

starts from one node, passes through other distinct nodes and back to the starting Node. A chord is an edge, which connects and different nodes on the circle, but it does isn't belong to the set of edges on the CI Rcle.SolutionPe*1 QVQFollow the output for each net with a blank line.the CDQ of chord and interval mapMaximum potential algorithm Maximum cardinality Searchfrom N to 1 of the order of the point, set label[i] means I and how many labeled points are connected, each time the selection o

Depth and breadth-first traversal algorithm for Java implementation graphs

Overview:Recently to learn to write web crawler. So the depth and breadth of the map to search all over again.Figure structure Show:implementation process:first, let's look at the implementation of the graph structure in the code. There are three blocks of logic:1. The nodes in the diagram:public class Graphnode {public list2. Edges in the diagram:public class Graphedge {private Graphnode nodeleft;private graphnode noderight;/** * @param nodeleft * left side of Edge * @param noder Ight * Side ri

Tarjan algorithm, a magical algorithm for the connectivity of graphs

; if(!Vis[v]) {DFS (V,U); Low[u]=min (low[u],low[v]); } Else if(Vis[v]) {Low[u]=min (low[u],dfn[v]); } } if(low[u]==Dfn[u]) {Cut++; while(top>0stack1[top]!=u) {top--; Vis[stack1[top]]=2; Num[stack1[top]]=cut; } }}intMain () {inti,u,v; while(SCANF ("%d%d", n,m)! =EOF) {init (); for(i=0; i) {scanf ("%d%d",u,v); Addedge (U,V); } for(intI=1; i) { if(!Vis[i]) {DFS (I,0); } } for(i=1; i) { for(intJ=

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