java.lang.Object
g1601_1700.s1617_count_subtrees_with_max_distance_between_cities.Solution

public class Solution extends Object
1617 - Count Subtrees With Max Distance Between Cities\. Hard There are `n` cities numbered from `1` to `n`. You are given an array `edges` of size `n-1`, where edges[i] = [ui, vi] represents a bidirectional edge between cities ui and vi. There exists a unique path between each pair of cities. In other words, the cities form a **tree**. A **subtree** is a subset of cities where every city is reachable from every other city in the subset, where the path between each pair passes through only the cities from the subset. Two subtrees are different if there is a city in one subtree that is not present in the other. For each `d` from `1` to `n-1`, find the number of subtrees in which the **maximum distance** between any two cities in the subtree is equal to `d`. Return _an array of size_ `n-1` _where the_ dth _element **(1-indexed)** is the number of subtrees in which the **maximum distance** between any two cities is equal to_ `d`. **Notice** that the **distance** between the two cities is the number of edges in the path between them. **Example 1:** **![](https://assets.leetcode.com/uploads/2020/09/21/p1.png)** **Input:** n = 4, edges = \[\[1,2],[2,3],[2,4]] **Output:** [3,4,0] **Explanation:** The subtrees with subsets {1,2}, {2,3} and {2,4} have a max distance of 1. The subtrees with subsets {1,2,3}, {1,2,4}, {2,3,4} and {1,2,3,4} have a max distance of 2. No subtree has two nodes where the max distance between them is 3. **Example 2:** **Input:** n = 2, edges = \[\[1,2]] **Output:** [1] **Example 3:** **Input:** n = 3, edges = \[\[1,2],[2,3]] **Output:** [2,1] **Constraints:** * `2 <= n <= 15` * `edges.length == n-1` * `edges[i].length == 2` * 1 <= ui, vi <= n * All pairs (ui, vi) are distinct.
  • Constructor Details

    • Solution

      public Solution()
  • Method Details

    • countSubgraphsForEachDiameter

      public int[] countSubgraphsForEachDiameter(int n, int[][] edges)