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How to Solve Distribute Coins in Binary Tree Problem
Master the Distribute Coins in Binary Tree LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemDistribute Coins in Binary Tree
You are given the root of a binary tree with n nodes where each node in the tree has node.val coins. There are n coins in total throughout the whole tree. In one move, we may choose two adjacent nodes and move one coin from one node to another. A move may be from parent to child, or from child to parent. Return the minimum number of moves required to make every node have exactly one coin.
TreeDepth-First SearchBinary Tree
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Problem Breakdown
Understanding the Distribute Coins in Binary Tree Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given the root of a binary tree with n nodes where each node in the tree has node.val coins. There are n coins in total throughout the whole tree. In one move, we may choose two adjacent nodes and move one coin from one node to another. A move may be from parent to child, or from child to parent. Return the minimum number of moves required to make every node have exactly one coin.
MediumProblem #979
LeetCodeDistribute Coins in Binary Tree
Related Topics
TreeDepth-First SearchBinary Tree
How Phantom Code Helps
Get real-time assistance for Distribute Coins in Binary Tree problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
root = [3,0,0]
Output
2
# Example 2
Input
root = [0,3,0]
Output
3
Constraints
The number of nodes in the tree is n.
1 <= n <= 100
0 <= Node.val <= n
The sum of all Node.val is n.
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Solve Distribute Coins in Binary Tree — You are given the root of a binary tree with n nodes where each node in the tree...
Here's the optimal approach using Tree:
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 Distribute Coins in Binary Tree and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Distribute Coins in Binary 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 Distribute Coins in Binary 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 Distribute Coins in Binary 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 Distribute Coins in Binary 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 Distribute Coins in Binary 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 Distribute Coins in Binary Tree during live interviews?
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How does Phantom Code help when I'm struggling with Distribute Coins in Binary 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 Distribute Coins in Binary 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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