LeetCode 2199: Finding the Topic of Each Post Solution
Master LeetCode problem 2199 (Finding the Topic of Each Post), a hard challenge, with our optimized solutions in Java, C++, and Python. Explore detailed explanations, test your code in our interactive editor, and prepare for coding interviews.
2199. Finding the Topic of Each Post
Problem Explanation
Explanation:
To solve this problem, we can use a graph-based approach. We can model the given posts and their topics as nodes and edges in a directed graph. Then, we can perform a topological sort to determine the topic of each post. The key idea is to construct the graph based on the provided post dependencies and then perform a topological sort to find the order of topics.
Algorithm:
- Create a graph where each node represents a post and each directed edge (u, v) indicates that post u depends on post v.
- Perform a topological sort on the graph to get the order of posts/topics.
- Assign topics to posts based on the topological order obtained.
Time Complexity:
The time complexity of this approach is O(V + E), where V is the number of posts/topics and E is the number of dependencies between posts.
Space Complexity:
The space complexity is O(V + E) to store the graph and perform the topological sort.
:
Solution Code
import java.util.*;
class Solution {
public int[] findOrder(int numCourses, int[][] prerequisites) {
List<Integer>[] graph = new ArrayList[numCourses];
int[] indegree = new int[numCourses];
for (int i = 0; i < numCourses; i++) {
graph[i] = new ArrayList<>();
}
for (int[] prerequisite : prerequisites) {
int course = prerequisite[0];
int prereq = prerequisite[1];
graph[prereq].add(course);
indegree[course]++;
}
Queue<Integer> queue = new LinkedList<>();
for (int i = 0; i < numCourses; i++) {
if (indegree[i] == 0) {
queue.offer(i);
}
}
int[] result = new int[numCourses];
int index = 0;
while (!queue.isEmpty()) {
int node = queue.poll();
result[index++] = node;
for (int neighbor : graph[node]) {
indegree[neighbor]--;
if (indegree[neighbor] == 0) {
queue.offer(neighbor);
}
}
}
return index == numCourses ? result : new int[0];
}
}Try It Yourself
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