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How to Solve Find Number of Coins to Place in Tree Nodes Problem
Master the Find Number of Coins to Place in Tree Nodes LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemFind Number of Coins to Place in Tree Nodes
You are given an undirected tree with n nodes labeled from 0 to n - 1, and rooted at node 0. You are given a 2D integer array edges of length n - 1, where edges[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the tree. You are also given a 0-indexed integer array cost of length n, where cost[i] is the cost assigned to the ith node. You need to place some coins on every node of the tree. The number of coins to be placed at node i can be calculated as: Return an array coin of size n such that coin[i] is the number of coins placed at node i.
Dynamic ProgrammingTreeDepth-First SearchSortingHeap (Priority Queue)
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Problem Breakdown
Understanding the Find Number of Coins to Place in Tree Nodes Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an undirected tree with n nodes labeled from 0 to n - 1, and rooted at node 0. You are given a 2D integer array edges of length n - 1, where edges[i] = [ai, bi] indicates that there is an edge between nodes ai and bi in the tree. You are also given a 0-indexed integer array cost of length n, where cost[i] is the cost assigned to the ith node. You need to place some coins on every node of the tree. The number of coins to be placed at node i can be calculated as: Return an array coin of size n such that coin[i] is the number of coins placed at node i.
HardProblem #2973
LeetCodeFind Number of Coins to Place in Tree Nodes
Related Topics
Dynamic ProgrammingTreeDepth-First SearchSortingHeap (Priority Queue)
How Phantom Code Helps
Get real-time assistance for Find Number of Coins to Place in Tree Nodes problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
edges = [[0,1],[0,2],[0,3],[0,4],[0,5]], cost = [1,2,3,4,5,6]
Output
[120,1,1,1,1,1]
# Example 2
Input
edges = [[0,1],[0,2],[1,3],[1,4],[1,5],[2,6],[2,7],[2,8]], cost = [1,4,2,3,5,7,8,-4,2]
Output
[280,140,32,1,1,1,1,1,1]
# Example 3
Input
edges = [[0,1],[0,2]], cost = [1,2,-2]
Output
[0,1,1]
Constraints
2 <= n <= 2 * 104
edges.length == n - 1
edges[i].length == 2
0 <= ai, bi < n
cost.length == n
1 <= |cost[i]| <= 104
The input is generated such that edges represents a valid tree.
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Solve Find Number of Coins to Place in Tree Nodes — You are given an undirected tree with n nodes labeled from 0 to n - 1, and roote...
Here's the optimal approach using Dynamic Programming:
def solve(input):
# Optimal O(n) solution
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Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Find Number of Coins to Place in Tree Nodes and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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 Find Number of Coins to Place in Tree 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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