There are a total of numCourses
courses you have to take, labeled from 0
to numCourses - 1
. You are given an array prerequisites
where prerequisites[i] = [ai, bi]
indicates that you must take course bi
first if you want to take course ai
.
- For example, the pair
[0, 1]
, indicates that to take course0
you have to first take course1
.
Return true
if you can finish all courses. Otherwise, return false
.
Example 1:
Input: numCourses = 2, prerequisites = [[1,0]] Output: true Explanation: There are a total of 2 courses to take. To take course 1 you should have finished course 0. So it is possible.
Example 2:
Input: numCourses = 2, prerequisites = [[1,0],[0,1]] Output: false Explanation: 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.
Constraints:
1 <= numCourses <= 2000
0 <= prerequisites.length <= 5000
prerequisites[i].length == 2
0 <= ai, bi < numCourses
- All the pairs prerequisites[i] are unique.
Companies: Amazon, Google, Apple
Related Topics:
Depth-First Search, Breadth-First Search, Graph, Topological Sort
Similar Questions:
- Course Schedule II (Medium)
- Graph Valid Tree (Medium)
- Minimum Height Trees (Medium)
- Course Schedule III (Hard)
- Build a Matrix With Conditions (Hard)
// OJ: https://leetcode.com/problems/course-schedule/
// Author: github.com/lzl124631x
// Time: O(V + E)
// Space: O(V + E)
class Solution {
public:
bool canFinish(int n, vector<vector<int>>& E) {
vector<vector<int>> G(n);
vector<int> indegree(n);
for (auto &e : E) {
G[e[1]].push_back(e[0]);
++indegree[e[0]];
}
queue<int> q;
for (int i = 0; i < n; ++i) {
if (indegree[i] == 0) q.push(i);
}
while (q.size()) {
int u = q.front();
q.pop();
--n;
for (int v : G[u]) {
if (--indegree[v] == 0) q.push(v);
}
}
return n == 0;
}
};
// OJ: https://leetcode.com/problems/course-schedule/
// Author: github.com/lzl124631x
// Time: O(V + E)
// Space: O(V + E)
class Solution {
public:
bool canFinish(int n, vector<vector<int>>& E) {
vector<vector<int>> G(n);
for (auto &e : E) G[e[1]].push_back(e[0]);
vector<int> state(n, -1); // -1 unvisited, 0 visiting, 1 visited
function<bool(int)> dfs = [&](int u) -> bool {
if (state[u] != -1) return state[u];
state[u] = 0;
for (int v : G[u]) {
if (!dfs(v)) return false;
}
return state[u] = 1;
};
for (int i = 0; i < n; ++i) {
if (!dfs(i)) return false;
}
return true;
}
};