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How to Solve Sum of Distances in Tree Problem
Master the Sum of Distances in Tree LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsHard#834
LeetCode ProblemSum of Distances in Tree
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.
Dynamic ProgrammingTreeDepth-First SearchGraph
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Problem Breakdown
Understanding the Sum of Distances in Tree Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
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.
HardProblem #834
LeetCodeSum of Distances in Tree
Related Topics
Dynamic ProgrammingTreeDepth-First SearchGraph
How Phantom Code Helps
Get real-time assistance for Sum of Distances in Tree problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
n = 6, edges = [[0,1],[0,2],[2,3],[2,4],[2,5]]
Output
[8,12,6,10,10,10]
# 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.
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Solve Sum of Distances in Tree — There is an undirected connected tree with n nodes labeled from 0 to n - 1 and n...
Here's the optimal approach using Dynamic Programming:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Sum of Distances in Tree and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Sum of Distances in Tree during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Sum of Distances in Tree?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Sum of Distances in Tree?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Sum of Distances in Tree type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Sum of Distances in Tree interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Sum of Distances in Tree during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Sum of Distances in Tree style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Sum of Distances in Tree interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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