You are given an undirected graph. You are given an integer n which is the number of nodes in the graph and an array edges, where each edges[i] = [ui, vi] indicates that there is an undirected edge between ui and vi.
A connected trio is a set of three nodes where there is an edge between every pair of them.
The degree of a connected trio is the number of edges where one endpoint is in the trio, and the other is not.
Return the minimum degree of a connected trio in the graph, or -1 if the graph has no connected trios.
Example 1:
Input: n = 6, edges = [[1,2],[1,3],[3,2],[4,1],[5,2],[3,6]]
Output: 3
Explanation: There is exactly one trio, which is [1,2,3]. The edges that form its degree are bolded in the figure above.
Example 2:
Input: n = 7, edges = [[1,3],[4,1],[4,3],[2,5],[5,6],[6,7],[7,5],[2,6]]
Output: 0
Explanation: There are exactly three trios:
Constraints:
2 <= n <= 400
edges[i].length == 2
1 <= edges.length <= n * (n-1) / 2
1 <= ui, vi <= n
ui != vi
There are no repeated edges.
解法1:临接矩阵
class Solution {
public:
int minTrioDegree(int n, vector<vector<int>>& edges) {
vector<vector<int>> matrix(n + 1, vector<int>(n + 1));
vector<int> counter(n + 1);
int res = INT_MAX;
for (auto &edge : edges) {
matrix[min(edge[0], edge[1])][max(edge[0], edge[1])] = 1;
++counter[edge[0]];
++counter[edge[1]];
}
for (auto i = 1; i <= n; i++) {
for (auto j = i + 1; j <= n; j++) {
if (matrix[i][j]) {
for (auto k = j + 1; k <= n; k++) {
if (matrix[i][k] && matrix[j][k]) {
res = min(res, counter[i] + counter[j] + counter[k] - 6);
}
}
}
}
}
return res == INT_MAX ? -1 : res;
}
};