Off-by-one on range boundaries
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.
Move from brute-force thinking to an efficient approach using core interview patterns strategy.
There are n teams numbered from 0 to n - 1 in a tournament; each team is also a node in a DAG.
You are given the integer n and a 0-indexed 2D integer array edges of length m representing the DAG, where edges[i] = [ui, vi] indicates that there is a directed edge from team ui to team vi in the graph.
A directed edge from a to b in the graph means that team a is stronger than team b and team b is weaker than team a.
Team a will be the champion of the tournament if there is no team b that is stronger than team a.
Return the team that will be the champion of the tournament if there is a unique champion, otherwise, return -1.
Notes
a1, a2, ..., an, an+1 such that node a1 is the same node as node an+1, the nodes a1, a2, ..., an are distinct, and there is a directed edge from the node ai to node ai+1 for every i in the range [1, n].Example 1:
Input: n = 3, edges = [[0,1],[1,2]] Output: 0 Explanation: Team 1 is weaker than team 0. Team 2 is weaker than team 1. So the champion is team 0.
Example 2:
Input: n = 4, edges = [[0,2],[1,3],[1,2]] Output: -1 Explanation: Team 2 is weaker than team 0 and team 1. Team 3 is weaker than team 1. But team 1 and team 0 are not weaker than any other teams. So the answer is -1.
Constraints:
1 <= n <= 100m == edges.length0 <= m <= n * (n - 1) / 2edges[i].length == 20 <= edge[i][j] <= n - 1edges[i][0] != edges[i][1]a is stronger than team b, team b is not stronger than team a.a is stronger than team b and team b is stronger than team c, then team a is stronger than team c.Problem summary: There are n teams numbered from 0 to n - 1 in a tournament; each team is also a node in a DAG. You are given the integer n and a 0-indexed 2D integer array edges of length m representing the DAG, where edges[i] = [ui, vi] indicates that there is a directed edge from team ui to team vi in the graph. A directed edge from a to b in the graph means that team a is stronger than team b and team b is weaker than team a. Team a will be the champion of the tournament if there is no team b that is stronger than team a. Return the team that will be the champion of the tournament if there is a unique champion, otherwise, return -1. Notes A cycle is a series of nodes a1, a2, ..., an, an+1 such that node a1 is the same node as node an+1, the nodes a1, a2, ..., an are distinct, and there is a directed edge from the node ai to node ai+1 for every i in the range [1, n]. A DAG is a directed graph that
Start with the most direct exhaustive search. That gives a correctness anchor before optimizing.
Pattern signal: General problem-solving
3 [[0,1],[1,2]]
4 [[0,2],[1,3],[1,2]]
Source-backed implementations are provided below for direct study and interview prep.
// Accepted solution for LeetCode #2924: Find Champion II
class Solution {
public int findChampion(int n, int[][] edges) {
int[] indeg = new int[n];
for (var e : edges) {
++indeg[e[1]];
}
int ans = -1, cnt = 0;
for (int i = 0; i < n; ++i) {
if (indeg[i] == 0) {
++cnt;
ans = i;
}
}
return cnt == 1 ? ans : -1;
}
}
// Accepted solution for LeetCode #2924: Find Champion II
func findChampion(n int, edges [][]int) int {
indeg := make([]int, n)
for _, e := range edges {
indeg[e[1]]++
}
ans, cnt := -1, 0
for i, x := range indeg {
if x == 0 {
cnt++
ans = i
}
}
if cnt == 1 {
return ans
}
return -1
}
# Accepted solution for LeetCode #2924: Find Champion II
class Solution:
def findChampion(self, n: int, edges: List[List[int]]) -> int:
indeg = [0] * n
for _, v in edges:
indeg[v] += 1
return -1 if indeg.count(0) != 1 else indeg.index(0)
// Accepted solution for LeetCode #2924: Find Champion II
// Rust example auto-generated from java reference.
// Replace the signature and local types with the exact LeetCode harness for this problem.
impl Solution {
pub fn rust_example() {
// Port the logic from the reference block below.
}
}
// Reference (java):
// // Accepted solution for LeetCode #2924: Find Champion II
// class Solution {
// public int findChampion(int n, int[][] edges) {
// int[] indeg = new int[n];
// for (var e : edges) {
// ++indeg[e[1]];
// }
// int ans = -1, cnt = 0;
// for (int i = 0; i < n; ++i) {
// if (indeg[i] == 0) {
// ++cnt;
// ans = i;
// }
// }
// return cnt == 1 ? ans : -1;
// }
// }
// Accepted solution for LeetCode #2924: Find Champion II
function findChampion(n: number, edges: number[][]): number {
const indeg: number[] = Array(n).fill(0);
for (const [_, v] of edges) {
++indeg[v];
}
let [ans, cnt] = [-1, 0];
for (let i = 0; i < n; ++i) {
if (indeg[i] === 0) {
++cnt;
ans = i;
}
}
return cnt === 1 ? ans : -1;
}
Use this to step through a reusable interview workflow for this problem.
Two nested loops check every pair or subarray. The outer loop fixes a starting point, the inner loop extends or searches. For n elements this gives up to n²/2 operations. No extra space, but the quadratic time is prohibitive for large inputs.
Most array problems have an O(n²) brute force (nested loops) and an O(n) optimal (single pass with clever state tracking). The key is identifying what information to maintain as you scan: a running max, a prefix sum, a hash map of seen values, or two pointers.
Review these before coding to avoid predictable interview regressions.
Wrong move: Loop endpoints miss first/last candidate.
Usually fails on: Fails on minimal arrays and exact-boundary answers.
Fix: Re-derive loops from inclusive/exclusive ranges before coding.