数据结构 | DFS&BFS，Prim代码

树的DFS&BFS

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prim算法

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prim 调整的是小根堆 

图的DFS和BFS

BFS 

DFS

广度优先遍历：检测到没有遍历 先放入队列中 ，做访问标记

深度优先遍历： 检测到没有遍历，直接递归调用直接遍历那个点 

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拓扑序列

一个ID数组：存放顶点入度

一个t数组：存放拓扑序列

一个队列q：存放入度为0的顶点

template
int Graph::InDgree(int v)const //函数：计算入度
{
    int InDegree = 0;
    for (int i = 0; i < SizeV(); i++)
    {
        typename list::const_iterator first = HL[i].begin(), last = HL[i].end();
        for (; first != last; ++first)
        {
            if ((*first).dest == v)
                ++InDegree;
        }

    }
    return InDegree;
}
//私有函数
template
bool Graph::TopSort(int* t, int ne)const //拓扑排序
{
    int pos, j,i, count = 0;;
    int* ID = new int[ne];
    queue q;
    
    for (i = 0; i < ne; i++)
    {
        ID[i] = InDgree(i); //给ID数组赋予每个点的入度
        if (ID[i] == 0)
          q.push(i);
    }
    typename list::const_iterator first, last;
    int id = 0;
    while (!q.empty())
    {
        pos = q.front();
        q.pop();
        t[id++] = pos;
        count++;
         first = HL[pos].begin(), last = HL[pos].end();
        for (; first != last; ++first)
        {
            j = first->dest;
            ID[j]--;
            if (ID[j] == 0)
                q.push(j);
        }
    }
    delete[]ID;
    return count == ne;
}
//公有函数
template
bool Graph::TopSort(list& l)const //拓扑排序
{
    int *top = new int[SizeV()+1];
    if(TopSort(top, SizeV()))
    {
        for (int i = 0; i < SizeV(); i++)
        {
            l.push_back(VA[top[i]]);
        }
        delete[]top;
        return true;
    }
    delete[]top;
    return false;
}