LeetCode 0834. Sum of Distances in Tree Solution in Java, C++, Python & More | Explanation + Code

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0834. Sum of Distances in Tree

Description

There is an undirected connected tree with n nodes labeled from 0 to n - 1 and n - 1 edges.

You are given the integer n and the array edges where edges[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the tree.

Return an array answer of length n where answer[i] is the sum of the distances between the ith node in the tree and all other nodes.

 

Example 1:

Input: n = 6, edges = [[0,1],[0,2],[2,3],[2,4],[2,5]]
Output: [8,12,6,10,10,10]
Explanation: The tree is shown above.
We can see that dist(0,1) + dist(0,2) + dist(0,3) + dist(0,4) + dist(0,5)
equals 1 + 1 + 2 + 2 + 2 = 8.
Hence, answer[0] = 8, and so on.

Example 2:

Input: n = 1, edges = []
Output: [0]

Example 3:

Input: n = 2, edges = [[1,0]]
Output: [1,1]

 

Constraints:

  • 1 <= n <= 3 * 104
  • edges.length == n - 1
  • edges[i].length == 2
  • 0 <= ai, bi < n
  • ai != bi
  • The given input represents a valid tree.

Solutions

Solution 1: Tree DP (Re-rooting)

First, we run a DFS to calculate the size of each node's subtree, recorded in the array size, and compute the sum of distances from node 0 to all other nodes, recorded in ans[0].

Next, we run another DFS to enumerate the sum of distances from each node when it is considered as the root. Suppose the answer for the current node i is t. When we move from node i to node j, the sum of distances changes to t - size[j] + n - size[j], meaning the sum of distances to node j and its subtree nodes decreases by size[j], while the sum of distances to other nodes increases by n - size[j].

The time complexity is O(n), and the space complexity is O(n), where n is the number of nodes in the tree.

Similar problems:

PythonJavaC++GoTypeScript
class Solution: def sumOfDistancesInTree(self, n: int, edges: List[List[int]]) -> List[int]: def dfs1(i: int, fa: int, d: int): ans[0] += d size[i] = 1 for j in g[i]: if j != fa: dfs1(j, i, d + 1) size[i] += size[j] def dfs2(i: int, fa: int, t: int): ans[i] = t for j in g[i]: if j != fa: dfs2(j, i, t - size[j] + n - size[j]) g = defaultdict(list) for a, b in edges: g[a].append(b) g[b].append(a) ans = [0] * n size = [0] * n dfs1(0, -1, 0) dfs2(0, -1, ans[0]) return ans(code-box)

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