本文主要是介绍图的广度优先伪代码实现-c++,对大家解决编程问题具有一定的参考价值,需要的程序猿们随着小编来一起学习吧!
/*
图的广度优先算法(邻接矩阵的存储结构,无权图):
1. 算法思想:
1. 访问顶点
2. visited[i]置为true
3. 入队
4. - 出队
- 访问所有的邻接顶点,置true,入队,重复步骤4
2. 回顾循环队列:
1. 基本的结构:
- 为了便于区分 front = rear是表示当前队列是满的还是空的,使用了带有一个空位置的队列
2. 队列满的条件:
- (rear + 1) / maxsize == front;
3. 队列空的条件:
- frint == raer;
*/
# include<iostream>
# include<string>
using namespace std;
# define MAX 30
bool visited[MAX];
int queue[MAX - 1];
struct Matrix{
char vex[MAX];
int arc[MAX][MAX];
int vexnum, arcnum;
};
struct Queue{
int element[MAX];
int front;
int rear;
};
void initQueue(Queue * q){
q->front = q->rear=0;
return;
}
int enterQueue(Queue * q, int x){
if ((q->rear + 1) % MAX == q->front)
return false;
q->element[q->rear] = x;
q->rear = (q->rear + 1) % MAX;
return true;
}
int isEmptyQueue(Queue q){
if (q.front == q.rear)
return false;
else
return true;
}
int deleteQueue(Queue * q, int * x){
if (q->rear == q->front)
return false;
* x = q->element[q->front];
q->front = (q->front + 1) % MAX;
return true;
}
int location(Matrix * g, char data){
for (int i = 0; i < g->vexnum; i++){
if (g->vex[i] == data)
return i;
}
return -1;
}
void createMatrix(Matrix * g){
char data1, data2;
cout << "请输入顶点数和边数:" << endl;
cin >> g -> vexnum >> g -> arcnum;
cout << "请输入各个顶点的值: ";
for(int i = 0; i < g -> vexnum; i++)
cin >> g -> vex[i];
for (int k = 0; k < g -> arcnum; k++){
cout << "请输入第" << k + 1 << "条边的值: " << endl;
cin >> data1 >> data2;
int i = location(g, data1);
int j = location(g, data2);
if (i != -1 && j != -1){
g -> arc[i][j] = 1;
g -> arc[j][i] = 1;
}else{
cout << "输入有误,请重新输入";
}
}
return;
}
int firstAdjNode(Matrix g, int x){
for (int i = 0; i < g.vexnum; i++){
if(g.arc[x][i] != 0){
return i;
}
}
return -1;
}
int nextAdjNode(Matrix g, int x, int w){
for (int i = w + 1; i < g.vexnum; i++){
if (g.arc[x][i] != 0){
return i;
}
}
return -1;
}
void breadthSearch(Matrix g, int i){
int x;
Queue q;
q.front = q.rear = 0;
cout << g.vex[i] << endl;
visited[i] = true;
enterQueue(&q, i);
while (isEmptyQueue(q)){
deleteQueue(&q, &x);
int w = firstAdjNode(g, x);
while (w != -1){
if (visited[w] == false){
cout << g.vex[w] << endl;
visited[w] = true;
enterQueue(&q, w);
}
w = nextAdjNode(g, x, w);
}
}
return;
}
void tranverseGraph(Matrix g){
for (int i = 0; i < MAX; i++)
visited[i] = false;
for(int i = 0; i < g.vexnum; i++){
if (!visited[i])
breadthSearch(g, i);
}
return;
}
int main(){
Matrix m;
for (int i = 0; i < MAX; i++)
for (int j = 0; j < MAX; j++)
m.arc[i][j] = 0;
createMatrix(&m);
for (int i = 0; i < m.vexnum; i++){
for (int j = 0; j < m.vexnum; j++)
cout << m.arc[i][j] << " ";
cout << endl;
}
cout << "---------------------------------" << endl;
tranverseGraph(m);
return 0;
}
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