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courseSchedule.java
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courseSchedule.java
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// 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?
// Intuition, can represent the nodes as graph,
// Naive solution, If there is any cycle we can't finish the courses
// Can use topological ordering to see if
//To make topigical ordering
//1. list all elements with incoming edges
//2. list an element to where all incoming edges to that element have already been listeed
//USE BFS to sort the graph
//TC: O(V + E) to run BFS
//SC: O(V) because max length of queue will be determind by number of nodes
class Solution {
public boolean canFinish(int numCourses, int[][] prerequisites) {
if (numCourses == 0 || prerequisites.length == 0) return true;
// Convert graph presentation from edges to indegree of adjacent list.
int indegree[] = new int[numCourses];
for (int i = 0; i < prerequisites.length; i++) // Indegree - how many prerequisites are needed.
indegree[prerequisites[i][0]]++;
Queue<Integer> queue = new LinkedList<Integer>();
for (int i = 0; i < numCourses; i++)
if (indegree[i] == 0) //add all incomindg edges of length
queue.add(i);
// How many courses don't need prerequisites.
int canFinishCount = queue.size();
while (!queue.isEmpty()) {
int prerequisite = queue.remove(); // Already finished this prerequisite course.
for (int i = 0; i < prerequisites.length; i++) {
if (prerequisites[i][1] == prerequisite) {
indegree[prerequisites[i][0]]--; //remove all the edges
if (indegree[prerequisites[i][0]] == 0) {
canFinishCount++;
queue.add(prerequisites[i][0]);
}
}
}
}
return (canFinishCount == numCourses);
}
}