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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, return
* the ordering of courses you should take to finish all courses.
*
* There may be multiple correct orders, you just need to return one of them.
* If it is impossible to finish all courses, return an empty array.
*
* 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 the correct course order is [0,1]
*
* 4, [[1,0],[2,0],[3,1],[3,2]]
* There are a total of 4 courses to take. To take course 3 you should have
* finished both courses 1 and 2. Both courses 1 and 2 should be taken after
* you finished course 0. So one correct course order is [0,1,2,3]. Another
* correct ordering is[0,2,1,3].
*
* 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.
*
* Hints:
* This problem is equivalent to finding the topological order in a directed
* graph. If a cycle exists, no topological ordering exists and therefore it
* will be impossible to take all courses.
*
* Topological Sort via DFS - A great video tutorial (21 minutes) on Coursera
* explaining the basic concepts of Topological Sort.
*
* Topological sort could also be done via BFS.
*
*/
publicclassCourseScheduleII210 {
publicint[] findOrder(intnumCourses, int[][] prerequisites) {
Set<Integer>[] graph = newSet[numCourses];
for (int[] link: prerequisites) {
intsrc = link[1];
intdst = link[0];
if (graph[src] == null) graph[src] = newHashSet<>();
graph[src].add(dst);
}
int[] order = newint[numCourses];
boolean[] visited = newboolean[numCourses];
int[] idx = newint[]{numCourses - 1};
for (inti=0; i<numCourses; i++) {
if (!visited[i]) {
if (!helper(graph, i, numCourses, newboolean[numCourses], visited, idx, order)) {
returnnewint[0];
}
}
}
returnorder;
}
privatebooleanhelper(Set<Integer>[] graph, intcurr, intnumCourses, boolean[] path, boolean[] visited, int[] idx, int[] order) {
if (path[curr]) returnfalse;
if (visited[curr]) returntrue;
visited[curr] = true;
path[curr] = true;
if (graph[curr] != null) {
for (intnext: graph[curr]) {
if (!helper(graph, next, numCourses, path, visited, idx, order)) returnfalse;
}
}
path[curr] = false;
order[idx[0]--] = curr;
returntrue;
}
publicint[] findOrder2(intnumCourses, int[][] prerequisites) {
Set<Integer>[] graph = newSet[numCourses];
int[] indegree = newint[numCourses];
for (int[] link: prerequisites) {
intsrc = link[1];
intdst = link[0];
indegree[dst]++;
if (graph[src] == null) graph[src] = newHashSet<>();
graph[src].add(dst);
}
Queue<Integer> q = newLinkedList<>();
for (inti=0; i<numCourses; i++) {
if (indegree[i] == 0) q.add(i);
}
if (q.isEmpty()) returnnewint[0];
int[] order = newint[numCourses];
inti = 0;
while (!q.isEmpty()) {
intcurr = q.poll();
order[i++] = curr;
if (graph[curr] == null) continue;
for (intnext: graph[curr]) {
indegree[next]--;
if (indegree[next] == 0) q.add(next);
}
}
returni == numCourses ? order : newint[0];
}
}