• 基于邻接表的拓扑排序实现


      上一篇博客实现了图的基本操作(使用邻接表),包括图的创建、输出、遍历等,这次来实现一下拓扑排序。拓扑排序基本原理可以参考以前转载的一篇博客

    http://www.cnblogs.com/zhangbaochong/p/5406159.html

      由于代码比较简单,就直接贴出来了

      1 #include <queue>
      2 #include <vector>
      3 #include <stack>
      4 #include <iostream>
      5 using namespace std;
      6 
      7 
      8 enum GraphType
      9 {
     10     UNDIR_UNWEIGHT_GRAPH,        //无向无权图
     11     UNDIR_WEIGHT_GRAPH,            //无向带权图
     12     DIR_UNWEIGHT_GRAPH,            //有向无权图
     13     DIR_WEIGHT_GRAPH            //有向带权图    
     14 };
     15 
     16 //结点颜色代表遍历情况
     17 enum ColorType
     18 {
     19     WHITE,    //未访问
     20     GRAY,    //正在访问,邻接点还没访问完
     21     BLACK    //访问完毕
     22 };
     23 
     24 template<typename VertexType, typename InfoType>
     25 class Graph
     26 {
     27 public:
     28     Graph(int vertexNum, GraphType type) :m_vertexNum(vertexNum), m_type(type), m_arcNum(0)
     29     {
     30         for (int i = 0; i < MAX_VERTEX_NUM; ++i)
     31         {
     32             m_vertices[i].firstArc = nullptr;
     33         }
     34     }
     35 
     36     void Create()
     37     {
     38         CreateDirUnweightGraph();
     39     }
     40 
     41 
     42     //输出图的信息
     43     void Display()
     44     {
     45         for (int i = 0; i < m_vertexNum; ++i)
     46         {
     47             cout << "" << i + 1 << "个结点为" << m_vertices[i].data << " 邻接表为:";
     48             ArcNode* node = m_vertices[i].firstArc;
     49             while (node)
     50             {
     51                 cout << "->" << m_vertices[node->vertexIndex].data << "(" << node->info << ")";
     52                 node = node->next;
     53             }
     54             cout << endl;
     55         }
     56     }
     57 
     58     //拓扑排序
     59     void TopologicalSort()
     60     {
     61         cout << "拓扑排序为:";
     62         CountInDegree();
     63         stack<Vertex> s;
     64         //把所有入度为0的结点入栈
     65         for (int i = 0; i < m_vertexNum; ++i)
     66         {
     67             if (m_inDegreeArray[i] == 0)
     68                 s.push(m_vertices[i]);
     69         }
     70         int count = 0;//输出结点计数,用于判断有没有环
     71         while (!s.empty())
     72         {
     73             Vertex v = s.top();
     74             s.pop();
     75             cout << v.data << "->";
     76             ++count;
     77             ArcNode* node = v.firstArc;
     78             while (node)
     79             {
     80                 //从图中删除结点v,v指向的结点入度-1
     81                 //结点 入度为0加入栈中
     82                 if (--m_inDegreeArray[node->vertexIndex] == 0)
     83                     s.push(m_vertices[node->vertexIndex]);
     84                 node = node->next;
     85             }
     86         }
     87         if (count < m_vertexNum)
     88             cout << "图中存在环!" << endl;
     89     }
     90 private:
     91     struct ArcNode
     92     {
     93         int vertexIndex;        //该弧指向的顶点位置
     94         struct ArcNode* next;    //指向下一个弧
     95         InfoType info;            //该弧的相关信息,如权重等
     96     };
     97 
     98     struct Vertex
     99     {
    100         VertexType data;    //顶点信息
    101         ArcNode* firstArc;    //指向第一条依附该节点弧的指针
    102         ColorType color;    //访问情况
    103     };
    104 
    105     //最大顶点数
    106     static const int MAX_VERTEX_NUM = 20;
    107     Vertex m_vertices[MAX_VERTEX_NUM];    //顶点列表
    108     int m_vertexNum;    //当前顶点数量
    109     int m_arcNum;        //当前弧数量
    110     GraphType m_type;    //图类型:有向无权图、有向带权图、无向无权图、无向无权图
    111 
    112     //结点入度数组
    113     int m_inDegreeArray[MAX_VERTEX_NUM];
    114 private:
    115     //初始化顶点列表
    116     void InitVertices()
    117     {
    118         cout << "请输入每个顶点的关键字" << endl;
    119         VertexType data;
    120         for (int i = 0; i < m_vertexNum; ++i)
    121         {
    122             cin >> data;
    123             m_vertices[i].data = data;
    124         }
    125     }
    126     //插入一个表结点
    127     void Insert(int headVertex, int tailVertex, InfoType info)
    128     {
    129         //构造一个邻接表结点,即创建一条弧
    130         ArcNode* newNode = new ArcNode;
    131         newNode->info = info;
    132         newNode->next = nullptr;
    133         newNode->vertexIndex = tailVertex;
    134 
    135         //找到邻接表的最后一个节点
    136         ArcNode* lastNode = m_vertices[headVertex].firstArc;
    137         if (lastNode == nullptr)
    138             m_vertices[headVertex].firstArc = newNode;
    139         else
    140         {
    141             while (lastNode->next)
    142             {
    143                 lastNode = lastNode->next;
    144             }
    145             lastNode->next = newNode;
    146         }
    147         ++m_arcNum;
    148     }
    149 
    150     //创建有向无权图
    151     void CreateDirUnweightGraph()
    152     {
    153         InitVertices();
    154         cout << "请分别输入每条边的起始结点值:" << endl;
    155         int head, tail;
    156         while (cin >> head >> tail)
    157         {
    158             Insert(head, tail, 0);
    159         }
    160     }
    161     
    162     void CountInDegree()
    163     {
    164         for (int i = 0; i < m_vertexNum; ++i)
    165         {
    166             m_inDegreeArray[i] = 0;
    167             for (int j = 0; j < m_vertexNum; ++j)
    168             {
    169                 ArcNode* node = m_vertices[j].firstArc;
    170                 while (node)
    171                 {
    172                     if (node->vertexIndex == i)
    173                     {
    174                         ++m_inDegreeArray[i];
    175                     }
    176                     node = node->next;
    177                 }
    178             }
    179         }
    180     }
    181 };
    182 
    183 int main()
    184 {
    185     Graph<char, int> g(6, DIR_UNWEIGHT_GRAPH);
    186     g.Create();
    187     g.Display();
    188     g.TopologicalSort();
    189 }

      测试用的有向图:

      输出结果:

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  • 原文地址:https://www.cnblogs.com/zhangbaochong/p/5631250.html
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