different graphs

The traversal of the graph is similar to the traversal of a tree, where one vertex is expected to go through the remaining vertices of the graph and make each vertex accessible only once, a process called graph traversal. For the traversal of graphs, how to avoid the loop of loops, we need to design the ergodic scheme scientifically, through two kinds of traversal order scheme: depth-first traversal and breadth-first traversal.1. Depth-First traversal

input file consists of several blocks of lines. Each block describes one network. The first line of each block there is the number of places N N lines contains the number of a place followed by the numbers of some places to which t Here are a direct line from the this place. These at the veryN lines completely describe the network, i.e., each direct connection of both places in the network I s contained at least in one row. All numbers on one line is separated by one space. Each block ends with

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

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

, 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][

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

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

: 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

. Enumerates a point as the source point, and then enumerates the sink points that are not adjacent to the source, seeking the maximum flow maxflow, Preserving the minimum maxflow is the edge connectivity of the graph. If G is a direction graph:1. The original G chart has a forward edge capacity of 1;2. This step is the same as step 2 of the no-show diagram.Note each time the source point is enumerated, the meeting point will find the smallest maxflow, and the flow of each edge edge[I]. Flow cle

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

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

answer the questionnaire " ], " member activity details ", [ {" value ":" 3 ", " name " : "Not participating in the activity" }, { "value": "5", "name": "Participant not responding to questionnaire" }, { "value": "Ten", "name": "Participate in the activity and answer the questionnaire" } ]--------The following is the array format$data =array ( 0=>array ("name" = "Not participating in activity", "value" = "3"), 1=>array ("Name" = "Participate

I; For (I = 1; I { Cout Cin> adjlist [I]. info; Adjlist [I]. link = NULL; } EdgeNode * p1; Int v1, v2; For (I = 1; I { Cout Cin> v1; Cout Cin> v2; P1 = (edgeNode *) malloc (sizeof (edgeNode )); P1-> no = v2; P1-> info = adjlist [v2]. info; P1-> next = adjlist [v1]. link; Adjlist [v1]. link = p1; } } // Depth-first search for directed unauthorized Graphs // Parent [I] is the forward node of node I. time is a global timestamp, v is the first node,

$ 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

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

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

: ""; 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

/', // Matching Rules src:[' **/*.css ', '!**/*.sprite.css '], // export paths to CSS and sprites address dest: ' Module1 /',// exported CSS name ext: '. Sprite.css ',extdot: ' last ' }]} }});// loads the plug-in that contains "Sprite" tasks. //grunt.loadnpmtasks (' Grunt-css-sprite '); // Because the sprite you want to generate is the. Sprite.png end, the original grunt-css-sprite made some changes, and then manually loaded Grunt_tasksgrunt.loadtasks (' Grunt_tasks ') ; grunt.registertask (

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_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;