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207. Course Schedule

2017-03-31 09:48 309 查看
There are a total of n courses you have to take, labeled from 
0
 to 
n
- 1
.

Some courses may have prerequisites, for example to take course 0 you have to first take course 1, which is expressed as a pair: 
[0,1]


Given the total number of courses and a list of prerequisite pairs, is it possible for you to finish all courses?

For example:
2, [[1,0]]


There are a total of 2 courses to take. To take course 1 you should have finished course 0. So it is possible.
2, [[1,0],[0,1]]


There are a total of 2 courses to take. To take course 1 you should have finished course 0, and to take course 0 you should also have finished course 1. So it is impossible.

Note:

The input prerequisites is a graph represented by a list of edges, not adjacency matrices. Read more about how
a graph is represented.
You may assume that there are no duplicate edges in the input prerequisites.

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给出数字n代表有n门课,编号0~n-1,一些课是有要求要先上一些别的课,问是否能修完全部课。这里能修完就相当于需求图中没有回环,所以可以用拓扑排序的方法解决问题。先找一个入度为0的节点,把它摘除,然后他指向的节点的入度就减一,减一的过程中如果有节点的入度变为0,就入栈,方便下次的摘除;然后循环摘除节点,直到没有入度为0的节点为止。循环过程中进行计数,如果摘除的节点个数小于所有节点数,说明图中有环,返回false,否则返回true。

代码:
class Solution
{
public:
bool canFinish(int numCourses, vector<pair<int, int> >& prerequisites)
{
vector<vector<int> > graph(numCourses);
vector<int> in_cnt(numCourses);
for(int i = 0; i < prerequisites.size(); ++i)
{
graph[prerequisites[i].first].push_back(prerequisites[i].second);
in_cnt[prerequisites[i].second]++;
}

stack<int> stk;
int cnt = 0;
for(int i = 0; i < numCourses; ++i)
{
if(in_cnt[i] == 0) stk.push(i);
}

while(!stk.empty())
{
int cur = stk.top();
stk.pop();
++cnt;

for(int i = 0; i < graph[cur].size(); ++i)
{
if(--in_cnt[graph[cur][i]] == 0)
{
stk.push(graph[cur][i]);
}
}
}

return cnt >= numCourses;
}
};
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标签:  topological sort