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How to Solve Time Taken to Mark All Nodes Problem
Master the Time Taken to Mark All Nodes LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsHard#3241
LeetCode ProblemTime Taken to Mark All Nodes
There exists an undirected tree with n nodes numbered 0 to n - 1. You are given a 2D integer array edges of length n - 1, where edges[i] = [ui, vi] indicates that there is an edge between nodes ui and vi in the tree. Initially, all nodes are unmarked. For each node i: Return an array times where times[i] is the time when all nodes get marked in the tree, if you mark node i at time t = 0. Note that the answer for each times[i] is independent, i.e. when you mark node i all other nodes are unmarked.
Dynamic ProgrammingTreeDepth-First SearchGraph
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Problem Breakdown
Understanding the Time Taken to Mark All Nodes Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There exists an undirected tree with n nodes numbered 0 to n - 1. You are given a 2D integer array edges of length n - 1, where edges[i] = [ui, vi] indicates that there is an edge between nodes ui and vi in the tree. Initially, all nodes are unmarked. For each node i: Return an array times where times[i] is the time when all nodes get marked in the tree, if you mark node i at time t = 0. Note that the answer for each times[i] is independent, i.e. when you mark node i all other nodes are unmarked.
HardProblem #3241
LeetCodeTime Taken to Mark All Nodes
Related Topics
Dynamic ProgrammingTreeDepth-First SearchGraph
How Phantom Code Helps
Get real-time assistance for Time Taken to Mark All Nodes problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
edges = [[0,1],[0,2]]
Output
[2,4,3]
# Example 2
Input
edges = [[0,1]]
Output
[1,2]
# Example 3
Input
edges = [[2,4],[0,1],[2,3],[0,2]]
Output
[4,6,3,5,5]
Constraints
2 <= n <= 105
edges.length == n - 1
edges[i].length == 2
0 <= edges[i][0], edges[i][1] <= n - 1
The input is generated such that edges represents a valid tree.
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Solve Time Taken to Mark All Nodes — There exists an undirected tree with n nodes numbered 0 to n - 1. You are given ...
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 Time Taken to Mark All Nodes and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Time Taken to Mark All Nodes 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 Time Taken to Mark All Nodes?
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 Time Taken to Mark All Nodes?
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 Time Taken to Mark All Nodes 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 Time Taken to Mark All Nodes 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 Time Taken to Mark All Nodes 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 Time Taken to Mark All Nodes 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 Time Taken to Mark All Nodes 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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