shading graphs

The nature of the dichotomy: in the graph G, there must be at least two points. If there is a loop, then the loop must be an even-edged loop. match : In graph theory, a match is a set of edges, where any two edges have no public vertices.maximum match: A match with the largest number of matched edges in all matches of a graph, called the maximum match of this graphMaximum matches: the number of matching edges that match the maximumPerfect Match : if one of the

Group coveragePerfect picture = companion Perfect picture. The chord chart is the perfect picture.9. The interval diagram is a chord chart.10. Given n intervals, it is required to select the most interval so that the intervals do not overlap each other. is actually the maximum point independent set of interval graphs.11. There are n bricks, height is 1, the width of the first building block is [Li, Ri], select a block of falling order to make the fin

, Figure 4, is the match of Figure 2.We define matching points , matching edges , unmatched points , mismatched edges , and they are very obvious. Example 3, 1, 4, 5, 7 is the matching point, the other vertices are unmatched points, 1-5, 4-7 is the matching edge, the other edges are non-matching edges.Maximum match : A match with the largest number of matched edges in all matches of a graph, called the maximum match for this graph. Figure 4 is a maximum match that contains 4 matching edges.Perfe

What is a graph | ω ･') Figure G is an Ordered Binary Group (V, E), where V is called the Vertices Set, E is called the Edges set, and E is not intersecting with V. They can also be written as V (G) and E (G ).The elements of E are binary groups, expressed by (x, y), where x, y, and V. (From Baidu encyclopedia) In short, a graph is composed of vertices and edges. It can also be understood as the abstract representation of the relationship between several elements, and the edge represents the re

from it. If not, then further backtracking. When all vertices are accessed, the entire depth-first traversal process is completed.Recursive algorithmThe Depthfirstsearch (v,visited)//visited is an array that represents the access of each vertex, and the initial value of the visited array is 0.DFSearch1. [Initialize]Print (v).Visited (v) =1.P=adjacent (Head[v]).//adjacent () is the head pointer of the Benking that holds the vertex, and the vertex table name is headDFSearch2. [Depth-first travers

two edges have no public vertices. For example, the red edge in Figure 3, Figure 4, is the match of Figure 2.We define matching points , matching edges , unmatched points , mismatched edges , and they are very obvious. Example 3, 1, 4, 5, 7 is the matching point, the other vertices are unmatched points, 1-5, 4-7 is the matching edge, the other edges are non-matching edges.Maximum match : A match with the largest number of matched edges in all matches of a graph, called the maximum match for thi

Graph is an important and relatively complex data structure, which is very useful in practical programming. Adjacency table is one of the main representations of graphs, and is a kind of link table representation method.#include #include The maximum number of vertices for the #define Max 10//graph is 10typedef struct NODE//Edge table junction (ARC){int adjvex;//number of connected verticesint weight;//Benquanstruct node *pnext;//points to the next edg

Two graphs interpreting Java exceptions and assertions--Reprint Please specify Source: Coder-pigIntroduction to this section:Published the day before yesterday "seven map to parse Java multithreading" Everyone's response is good, ah, today, two more,About Java exceptions and assertions, the things that are involved are:① what is an exception, why there are exceptions, exception handling mechanism model, common exception information summary, test anoma

Start to upload multiple maps, the use of the method is Input=file, and then name is equal to the array, so it is true to upload multiple graphs, processing multiple graphs of the method also borrowed a lot of PHP upload "original", but this is just upload the picture to the server, local can not preview, can not edit, The function is a little bit weaker; So, found the Kindeditor editor, with its multiple m

Depth-first traversal and breadth-first traversal of graphs stored in the adjacent table, and adjacent breadth-first Traversal 1. depth-first traversal is a traversal policy for connected graphs. The basic idea is as follows: Set x to the currently accessed vertex. After marking x, select an undetected edge (x, y) starting from x ). If vertex y is found to have been accessed, re-select another side that has

} or {v1,v2,v5,v4,v7,v3,v6}The algorithm of sorting from topology shows that if the AOV network has n vertices, e edges, in the process of topological sorting, searching for vertices with zero degree, the time required to build the vertex stack is O (n). Under normal circumstances, there are n vertices to the graph, each vertex into the stack, out of the stack, output a total of n times. The operation of vertex-to-degree minus 1 is performed in total e-times. Therefore, the total time complexity

beginning and end vertices of a path are the same, the remaining vertices are not the same, it is called a simple path.⑥ Sub-chart. If there are two graphs, g= (v,e) and g1= (V1,E1), if V1 is contained in V, and E1 is contained in E, then G1 is called a sub-graph of G.⑦ connected graph and Unicom component. In undirected graph G, if there is a path from vertex v1 to vertex v2, the vertex v1 and vertex v2 are connected. If any of the two vertices in t

Definition: in an no-map, define an edge-covered point for the two endpoints of the Edge. Find a side set S contains the most edges, so that each vertex in all vertices covered by this edge set is overwritten by only one edge. The size of S is called the maximum match of the Graph.The maximal matching algorithm of the binary Graph: set the left set as a set, with the edge set as the B set. Two methods are commonly used for the maximum matching of binary grap