2924. Find Champion II

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

  • 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].
  • DAG is a directed graph that does not have any cycle.

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 <= 100
  • m == edges.length
  • 0 <= m <= n * (n - 1) / 2
  • edges[i].length == 2
  • 0 <= edge[i][j] <= n - 1
  • edges[i][0] != edges[i][1]
  • The input is generated such that if team a is stronger than team b, team b is not stronger than team a.
  • The input is generated such that if team a is stronger than team b and team b is stronger than team c, then team a is stronger than team c.

Approach 01:

#include <vector>
using namespace std;

class Solution {
public:
    int findChampion(int numNodes, vector<vector<int>>& edges) {
        int potentialChampion = -1;
        int zeroInDegreeCount = 0;
        vector<int> inDegrees(numNodes);

        // Calculate in-degrees for each node
        for (const vector<int>& edge : edges) {
            const int targetNode = edge[1];
            ++inDegrees[targetNode];
        }

        // Identify nodes with zero in-degree
        for (int node = 0; node < numNodes; ++node) {
            if (inDegrees[node] == 0) {
                ++zeroInDegreeCount;
                potentialChampion = node;
            }
        }

        // If more than one node has zero in-degree, no champion exists
        return zeroInDegreeCount > 1 ? -1 : potentialChampion;
    }
};
from typing import List

class Solution:
    def findChampion(self, numNodes: int, edges: List[List[int]]) -> int:
        potentialChampion = -1
        zeroInDegreeCount = 0
        inDegrees = [0] * numNodes

        # Calculate in-degrees for each node
        for edge in edges:
            targetNode = edge[1]
            inDegrees[targetNode] += 1

        # Identify nodes with zero in-degree
        for node in range(numNodes):
            if inDegrees[node] == 0:
                zeroInDegreeCount += 1
                potentialChampion = node

        # If more than one node has zero in-degree, no champion exists
        return -1 if zeroInDegreeCount > 1 else potentialChampion

Time Complexity

  • Calculating In-Degrees:

    The loop iterates over all the edges to calculate the in-degrees of each node. This takes \( O(E) \), where \( E \) is the number of edges.

  • Identifying Nodes with Zero In-Degree:

    A single iteration over all the nodes is performed to find nodes with zero in-degree, which takes \( O(V) \), where \( V \) is the number of nodes.

  • Overall Time Complexity:

    \( O(V + E) \), as both steps are performed sequentially.

Space Complexity

  • In-Degree Array:

    The array `inDegrees` is used to store the in-degree of each node, which requires \( O(V) \) space.

  • Auxiliary Variables:

    Constant space is used for variables like `potentialChampion`, `zeroInDegreeCount`, and loop variables, requiring \( O(1) \) space.

  • Overall Space Complexity:

    \( O(V) \), dominated by the in-degree array.

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