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How to Solve Shortest Path in a Weighted Tree Problem
Master the Shortest Path in a Weighted Tree LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemShortest Path in a Weighted Tree
You are given an integer n and an undirected, weighted tree rooted at node 1 with n nodes numbered from 1 to n. This is represented by a 2D array edges of length n - 1, where edges[i] = [ui, vi, wi] indicates an undirected edge from node ui to vi with weight wi. You are also given a 2D integer array queries of length q, where each queries[i] is either: Return an integer array answer, where answer[i] is the shortest path distance from node 1 to x for the ith query of [2, x].
ArrayTreeDepth-First SearchBinary Indexed TreeSegment Tree
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Problem Breakdown
Understanding the Shortest Path in a Weighted Tree Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an integer n and an undirected, weighted tree rooted at node 1 with n nodes numbered from 1 to n. This is represented by a 2D array edges of length n - 1, where edges[i] = [ui, vi, wi] indicates an undirected edge from node ui to vi with weight wi. You are also given a 2D integer array queries of length q, where each queries[i] is either: Return an integer array answer, where answer[i] is the shortest path distance from node 1 to x for the ith query of [2, x].
HardProblem #3515
LeetCodeShortest Path in a Weighted Tree
Related Topics
ArrayTreeDepth-First SearchBinary Indexed TreeSegment Tree
How Phantom Code Helps
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Examples
# Example 1
Input
n = 2, edges = [[1,2,7]], queries = [[2,2],[1,1,2,4],[2,2]]
Output
[7,4]
# Example 2
Input
n = 3, edges = [[1,2,2],[1,3,4]], queries = [[2,1],[2,3],[1,1,3,7],[2,2],[2,3]]
Output
[0,4,2,7]
# Example 3
Input
n = 4, edges = [[1,2,2],[2,3,1],[3,4,5]], queries = [[2,4],[2,3],[1,2,3,3],[2,2],[2,3]]
Output
[8,3,2,5]
Constraints
1 <= n <= 105
edges.length == n - 1
edges[i] == [ui, vi, wi]
1 <= ui, vi <= n
1 <= wi <= 104
The input is generated such that edges represents a valid tree.
1 <= queries.length == q <= 105
queries[i].length == 2 or 4
queries[i] == [1, u, v, w'] or,
queries[i] == [2, x]
1 <= u, v, x <= n
(u, v) is always an edge from edges.
1 <= w' <= 104
queries[i] == [1, u, v, w'] or,
queries[i] == [2, x]
1 <= u, v, x <= n
(u, v) is always an edge from edges.
1 <= w' <= 104
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Solve Shortest Path in a Weighted Tree — You are given an integer n and an undirected, weighted tree rooted at node 1 wit...
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def solve(input):
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Frequently Asked Questions
Common questions about solving Shortest Path in a Weighted Tree and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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 Shortest Path in a Weighted 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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