shading graphs

http://www.luogu.org/problem/show?pid=1141To ask questions, the size of the sub-connected block of undirected graphs is sought.Direct BFS, read a search one, over 60;100% points 1,000,000 points, 100,000 queries, is obviously memory.I was weak, and I started out. The number group records the coordinates of the first point of each point belonging to the connected block, and then writes a bunch of them.Later asked a great God, like the mist to see the s

first, the basic terminologyFigure: Consists of a poor, non-empty point set and a set of edges, which is simply written in G (V,e);Vertex: The vertex in the graph: there is no direction for each edge in the graph: there is a direction in each edge of the graph; no edge: The Edge is no direction, and is written as (A, B) has a forward edge: The edge is a direction, is written as an edge is also an arc; the beginning vertex is called the arc tail;Simple diagram: There is no graph pointing to itsel

The traversal of graphs is divided into BFS width-first traversal and DFS depth-first traversal, the former takes the queue as the carrier and the latter with recursion as the carrier.adjacency Table Template:BFS1#include 2#include 3#include 4#include 5 using namespacestd;6 Const intMAXN =100000+Ten;7queueint>Q;8 intN, M, S, T, MS =0, Fch[maxn], ans =0;9 BOOLVIS[MAXN];Ten structtedge{ One intto, next; A }ADJ[MAXN]; - voidReadintx) { -x =0;intsig =

[bleg[v]]++; theMAT[BLEG[U]][BLEG[V]] =1; the } - } - } the the intTopo[n], k=0; the voidTopsort () the { -queueint>Q; the for(intI=1; i) the if(inde[i]==0) Q.push (i); the //printf ("Topsort: \ n");94k=0; the while(!q.empty ()) the { the intU =Q.front (); Q.pop ();98 //printf ("%d", u); AboutTOPO[++K] =u; - for(intI=1; i)101 {102 if(!mat[u][i])Continue;103inde[i]--;104 if(inde[i]==0) Q.push (i); the

Application of graphs-the implementation of searchThe search of the graph mainly includes two kinds of 1 are depth first search, one is breadth first search. Depth-First search as the name implies is always far away from the source search point, search down, depth-first search mechanism is a stack to achieve, breadth-first search algorithm is implemented by the queue, because the implementation of the mechanism is different, so the way to search is al

collection, and the number of vertices in the collection reaches the upper limitLargest group: Any two points in the collection have edges, and the number of vertices in the collection reaches the upper limitHungarian algorithm: Every time you look for an augmented path, if you can find a match plus 1The minimum vertex cover number of a binary graph = Two maximum match number of the graphMaximum number of independent sets of binary graphs = number of

http://acm.hust.edu.cn/vjudge/problem/viewProblem.action?id=20837Alas, the template for cutting points in the book is not good to use Ah, many of the details of understanding it is annoying. and find another template.Please note that each set of data in this problem is only a set of connected graphs#include UVA 315 to find cut points in connected graphs

Recently, looking at some algorithms, we need to show the data structure of the abstract graph in a visual way, I thought matplotlib might have potential support, and found a module networkx about the calculation and display of graphs. This module is very convenient to use, support dict based adjacency table, to assist graph theory learning is very good. #-*-encoding:utf-8-*- fromMatplotlibImportPyplot as PltImportNetworkx as NxN= { 'a': {'b','C','

7 graphs tell you the difference between a successful person and a loserChong Fu Bang2015-06-08 11:22 Experienced some beautiful and sinister, read a few chicken soup and poison tongue, you should already know: success and failure is not the difference between black and white, but how to manage life with wisdom.True intelligence is not opportunistic, the real idiot is not a loss of tolerance, dare to bear, happy to praise, good at learning is the real

Adjacency table is a chain storage structure of graphs. In the adjacency table, a single linked list is established for each fixed point in the diagram, and the nodes in the I single-linked list represent the edges attached to the fixed-point VI. Each node is composed of three domains, table nodes, head nodes, and storage graphs.If the structure of a diagram like a buildThen the procedure is as follows:#include adjacency table Storage for

Talk: Recently Ching Ming small holiday, a good relaxed a bit. Both before and after the festival are a bit lax. Not good, bad. You are insisting. Come on.The adjacency matrix representation of graphs is to represent the data structure of a graph with two arrays. One is a vertex array and the other is an array of adjacency matrices. The relationship that holds vertices in the adjacency matrix.It is simpler to use the adjacency matrix to represent the

An array of graphs (adjacency matrix) stores representations #include Effect: Copyright NOTICE: This article for Bo Master original article, without Bo Master permission not reproduced. Data Structure---adjacency table storage representation of C-language implementation graphs

POJ2536_Gopher II (maximum matching of bipartite graphs) and poj2536_gopherii Solution report Http://blog.csdn.net/juncoder/article/details/38156509 Question Portal Question: N hamster, m hole, the time when the e arrived at the ground s, the speed at which the hamster moved v, and how many hamster will be eaten by the e. Ideas: The hamster and the hole are regarded as two sets, and a bipartite graph is created. Only the local rat to the hole time is

1. Compatibility: highcharts is written in pure JavaScript and compatible with most browsers today, including safari, ie and Firefox;Examples of basic Official Charts of highcharts(6 images)2. Chart type: highcharts supports chart types, including graphs, area charts, bar charts, pie charts, scatter charts, and comprehensive charts. 3. Language-free: highcharts can be used in most web development scenarios and is free for individual users. It supports

Original address: 77431043First, explainIn the graph G, if there is at least one mutually accessible path between the two vertices, the two vertices are strongly connected (strongly connected). If there is strong connectivity to every two vertices of the graph G, the G is a strongly connected graph. The strongly connected sub-graph of the undirected graph of non-strong connected graphs is called the strong connected component (strongly connected compo

Minimum spanning tree to ask:The data are given as follows:The first line has two numbers, n represents n cities, m represents M roads, and the next M row, three numbers per row a,b,c represents city A to City B's distance C.What needs to be solved now is to require a minimum of Bentour-Guenton (any two points can be reached between each other). To connect the graphs of n vertices, you need to n-1 at least one edge. In fact, this is the smallest spann

While good color schemes are now handy, it's still hard to find the right color scheme for data visualization. Because of the unique attributes of the information map, it is necessary to satisfy the rich and not messy color matching requirements while ensuring the clarity of color recognition. However, even if you are not sensitive to color, with today's dry goods mentioned in the 3 tips, you can easily create a good-looking information map. In the case of information

First, the problem introducedThe problem of judging the number of graphs is often encountered on the network, as the following example:If we are going to select all the triangles in the graph, how do we use the code to determine if the graph we selected is a triangle, given each intersection. For example, how to filter out Figure 3?There are two steps to be used here:1. Get the vertex collection of all the small shapes contained in the selected graph

column, the first figure.Plt.plot (y[:,0],'b', label="1st") Plt.plot (y[:,0],'ro') Plt.grid (True) Plt.axis ('Tight') Plt.xlabel ("Index") Plt.ylabel ('Values of 1st') Plt.title ("This is a double axis label") plt.legend (Loc=0) Plt.subplot ( 212) #determine the position of the first diagramPlt.plot (y[:,1],'g', label="2st") Plt.plot (y[:,1],'r*') Plt.ylabel ("Values of 2st") plt.legend (Loc=0) plt.show ()5. Draw two different graphs in tw

In the N long ago, I sent a drawing curve of the article first sent a plot of the graph: the use of ASP.net with C # drawing graphs (curve diagram) inside the simple method of drawing graphs. I have been leafing through this article recently. In a great mood, I have revised the drawing method again, Increase the processing of automatic adaptive data and can draw multiple curves based on incoming data As us