拓扑排序
实现逻辑
用邻接表表示图
#include <iostream>
#include <stack>
#include <queue>
#include <vector>
#include <vector>
#include <algorithm>
#include <string.h>
using namespace std;
const int MaxVertexNum=10;
struct edgeListNode
{
int adjId;
int weight;
edgeListNode* nextedge=nullptr;
};
struct vertexListNode
{
int data;
edgeListNode* firstedge=nullptr;
};
struct Graph
{
int vertexnum=0;
int edgenum=0;
vertexListNode vertexList[MaxVertexNum];
};
void InsertEdge(Graph& graph,int i,int j)
{
edgeListNode* edge=new edgeListNode;
edge->adjId=j;
edge->nextedge=graph.vertexList[i].firstedge;//头插
graph.vertexList[i].firstedge=edge;
}
void GraphInitiation(Graph& graph)
{
graph.vertexnum=5;
graph.edgenum=5;
for(int i=0;i<graph.vertexnum;i++)//顶点表初始化
graph.vertexList[i].data=i;
vector<vector<int>>M={{0,1},{1,3},{2,3},{2,4},{3,4}};
for(int i=0;i<M.size();i++)//边表初始化
InsertEdge(graph,M[i][0],M[i][1]);
for(int i=0;i<graph.vertexnum;i++)
{
printf("%d",graph.vertexList[i].data);
edgeListNode* edge=graph.vertexList[i].firstedge;
if(edge)
printf("-->");
while(edge)
{
printf("%d",graph.vertexList[edge->adjId]);
edge=edge->nextedge;
if(edge)
printf("-->");
}
printf("\n");
}
}
拓扑排序
unsigned int CalIndegree(Graph& graph,int v)
{
uint cnt=0;
for(int i=0;i<graph.vertexnum && i!=v;i++)
{
edgeListNode* edge=graph.vertexList[i].firstedge;
while(edge)
{
if(edge->adjId==v)
cnt++;
edge=edge->nextedge;
}
}
return cnt;
}
bool ToPoSort(Graph& graph)
{
queue<int>Q;
uint Indegree[graph.vertexnum];
for(int i=0;i<graph.vertexnum;i++)
if(!(Indegree[i]=CalIndegree(graph,i)))
Q.push(i);
uint cnt=0;
while(!Q.empty())
{
int k=Q.front();
Q.pop();
cnt++;
printf("%d ",k);
for(edgeListNode* edge=graph.vertexList[k].firstedge;edge;edge=edge->nextedge)
{
int v=edge->adjId;
if(!(Indegree[v]=Indegree[v]-1))
Q.push(v);
}
}
if(cnt<graph.vertexnum)
return 0;
else
return 1;
}
测试
int main()
{
Graph graph;
GraphInitiation(graph);
printf("拓扑排序是:");
ToPoSort(graph);
printf("\n");
}
运行结果
0-->1
1-->3
2-->4-->3
3-->4
4
拓扑排序是:0 2 1 3 4
逆拓扑排序
算法一(类似拓扑排序):
代码
unsigned int CalOutdegree(Graph& graph,int v)
{
uint cnt=0;
edgeListNode* edge=graph.vertexList[v].firstedge;
while(edge)
{
cnt++;
edge=edge->nextedge;
}
return cnt;
}
bool ToPoSort(Graph& graph)
{
queue<int>Q;
uint Outdegree[graph.vertexnum];
for(int i=0;i<graph.vertexnum;i++)
if(!(Outdegree[i]=CalOutdegree(graph,i)))
Q.push(i);
uint cnt=0;
while(!Q.empty())
{
int k=Q.front();
Q.pop();
cnt++;
printf("%d ",k);
for(int i=0;i<graph.vertexnum && i!=k;i++)
{
edgeListNode* edge=graph.vertexList[i].firstedge;
while(edge)
{
if(edge->adjId==k)
{
Outdegree[i]=Outdegree[i]-1;
if(!Outdegree[i])
Q.push(i);
break;
}
edge=edge->nextedge;
}
}
}
if(cnt<graph.vertexnum)
return 0;
else
return 1;
}
int main()
{
Graph graph;
GraphInitiation(graph);
printf("逆拓扑排序是:");
ToPoSort(graph);
printf("\n");
}
运行结果
0-->1
1-->3
2-->4-->3
3-->4
4
逆拓扑排序是:4 3 1 2 0
算法二(深度搜索):
void dfs(Graph& graph,bool* visited,int v)
{
visited[v]=true;
edgeListNode* edge=graph.vertexList[v].firstedge;
if(edge)
{
if(!visited[edge->adjId])
dfs(graph,visited,edge->adjId);
edge=edge->nextedge;
}
printf("%d ",v);
}
void ToPoSort_DFS(Graph& graph,bool* visited)
{
for(int i=0;i<graph.vertexnum;i++)
if(!visited[i])
dfs(graph,visited,i);
}
int main()
{
Graph graph;
GraphInitiation(graph);
bool visited[graph.vertexnum];
memset(visited,0,graph.vertexnum);
printf("逆拓扑排序为:");
ToPoSort_DFS(graph,visited);
printf("\n");
}
运行结果
0-->1
1-->3
2-->4-->3
3-->4
4
逆拓扑排序为:4 3 1 0 2
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