An introduction to the non-direction graph of adjacency matrices
The non-direction graph of adjacency matrix refers to the graph represented by adjacency matrix.
The above figure G1 contains "a,b,c,d,e,f,g" a total of 7 vertices, and contains "(A,c), (A,d), (a,f), (B,c), (C,d), (E,g), (f,g)" A total of 7 sides. Since this is a a,c graph, the edges (c,a) and sides (the edges) are the same; the edges are enumerated in alphabetical order.
The matrix on the right of the above figure is a schematic diagram of the adjacency matrix in memory of the G1. The a[i][j]=1 indicates that the vertex I and the J Vertex are adjacent points, a[i][j]=0 means that they are not adjacency points, whereas A[i][j] represents the value of the J column of line I, for example, a[1,2]=1, which means that the 1th vertex (i.e. vertex b) and 2nd vertex (C) are contiguous points.
Code description of the adjacency matrix non-direction graph
1. Basic definition
Class Matrixudg {
private:
char Mvexs[max]; Vertex set
int mvexnum; Vertex number
int medgnum; Number of edges
int Mmatrix[max][max]; Adjacency Matrix public
:
//create diagram (own input data)
MATRIXUDG ();
Create diagram (with provided matrix)
MATRIXUDG (char vexs[], int vlen, char edges[][2], int elen);
~MATRIXUDG ();
Print matrix queue diagram
void print ();
Private:
//Read an input character
char Readchar ();
Returns the position of the CH in the Mmatrix matrix
int getPosition (char ch);
The MATRIXUDG is the corresponding structure of the adjacency matrix.
Mvexs is used to save vertices, Mvexnum is the number of vertices, medgnum is the number of edges, and Mmatrix is a two-dimensional array for storing matrix information. For example, mmatrix[i][j]=1, which means "vertex I (i.e. mvexs[i])" and "Vertex J (i.e. Mvexs[j])" are adjacency points, and mmatrix[i][j]=0 means that they are not adjacency points.
2. Create a matrix
This provides two ways to create matrices. One is with known data , and the other requires the user to enter data manually .
2.1 Creating the diagram (with the provided matrix)
* *
Create diagram (with provided matrix) *
parameter description:
* vexs -vertex array
* Vlen- vertex array length
* edges --Edge Array
* Elen --Length of Edge
array
/MATRIXUDG::MATRIXUDG (char vexs[], int vlen, char edges[][2], int Elen)
{
int i, p1, p2;
Initialize "vertex number" and "number of edges"
mvexnum = Vlen;
Medgnum = Elen;
Initialize "vertex" for
(i = 0; i < mvexnum i++)
mvexs[i] = vexs[i];
Initializes the "side"
for (i = 0; i < medgnum; i++)
{
//Read the start vertex and end vertex of the edge
p1 = getPosition (edges[i][0));
P2 = getPosition (edges[i][1]);
MMATRIX[P1][P2] = 1;
MMATRIX[P2][P1] = 1;
}
}
The function is to use known data to create an adjacency matrix without direction graph. In fact, in this article's test program source code, this method creates the G1 graph is above figure. The specific calling code is as follows:
Char vexs[] = {' A ', ' B ', ' C ', ' D ', ' E ', ' F ', ' G '};
Char edges[][2] = {
{' A ', ' C '},
{' A ', ' d '},
{' A ', ' F '},
{' B ', ' C '}, {'
c ', ' d '},
{' E ', ' G '},
{' F ', ' G '}};
int vlen = sizeof (VEXS)/sizeof (vexs[0));
int elen = sizeof (edges)/sizeof (edges[0));
matrixudg* PG;
PG = new Matrixudg (Vexs, Vlen, edges, Elen);
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