typedef struct{
int last_one;
int length_of_way;
}NODE;
Status Reclear_Queue(Queue &Q,int* indegree,int N){
ClearQueue(Q);
for(i = 0;i < N;i++)
if(!indegree[i]) EnQueue(Q,i);
return OK;
}//Reclear_Queue
Status Find_longest_way_DAG(MGraph G){
//求以鄰接矩陣存儲的有向無環圖中的最長路徑
NODE way[G.vexnum];
FindInDegree(G,indegree);//求入度序列
for(i = 0;i < G.vexnum;i++){//路徑初始化
way[i].last_one = -1
if(!indegree[i]) way[i].length_of_way = 0;
else way[i].length_of_way = -1;
}//for
InitQueue(Q);
int processed = 0;
while(processed < G.vexnum){//找路
Reclear_Queue(Q,indegree,G.vexnum);
int Queuel = QueueLength(Q);
processed += Queuel;
for(i = 0;i < Queuel;i++){
DeQueue(S,start);
for(j = 0;j < G.vexnum;j++){
if(G.arcs[start][j]){//這裏的假設是相鄰則爲關聯邊長度,不相鄰則爲0
indegree[j]--;
if(way[start].length_of_way + G.arcs[start][j] > way[j].length_of_way){
way[j].length_of_way = way[start].length_of_way + G.arcs[start][j];
way[j].last_one = start;
}//if
}//if
}//for
}//for
}//while
int longest_one = 0;
int longest = way[longest_one].length_of_way;
for(i = 1;i < G.vexnum;i++){//找匯
if(longest < way[i].length_of_way){
longest = way[i].length_of_way;
longest_one = i;
}//if
}//for
InitStack(longest_way);
while(longest_one > 0){//整路
Push(longest_way,longest_one);
longest_one = way[longest_one].last_one;
}//while
cout << "最長路徑長度:" << longest << endl;
cout << "最長路徑:" << endl;
while(!StackEmpty(longest_way)){
Pop(longest_way,i);
cout << i ;
}//while
cout << endl;
return OK;
}//Find_longest_way_DAG
時間複雜度分析:一次重整indegree是O(v),路徑初始化也是O(v),找路:O(v^2),找匯O(v),整路O(v),輸出O(v)
所以整個算法的複雜度是:O(v^2)
求以鄰接矩陣存儲的有向無環圖中的最長路徑
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