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How to Solve Smallest Missing Genetic Value in Each Subtree Problem
Master the Smallest Missing Genetic Value in Each Subtree LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemSmallest Missing Genetic Value in Each Subtree
There is a family tree rooted at 0 consisting of n nodes numbered 0 to n - 1. You are given a 0-indexed integer array parents, where parents[i] is the parent for node i. Since node 0 is the root, parents[0] == -1. There are 105 genetic values, each represented by an integer in the inclusive range [1, 105]. You are given a 0-indexed integer array nums, where nums[i] is a distinct genetic value for node i. Return an array ans of length n where ans[i] is the smallest genetic value that is missing from the subtree rooted at node i. The subtree rooted at a node x contains node x and all of its descendant nodes.
Dynamic ProgrammingTreeDepth-First SearchUnion Find
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Problem Breakdown
Understanding the Smallest Missing Genetic Value in Each Subtree Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There is a family tree rooted at 0 consisting of n nodes numbered 0 to n - 1. You are given a 0-indexed integer array parents, where parents[i] is the parent for node i. Since node 0 is the root, parents[0] == -1. There are 105 genetic values, each represented by an integer in the inclusive range [1, 105]. You are given a 0-indexed integer array nums, where nums[i] is a distinct genetic value for node i. Return an array ans of length n where ans[i] is the smallest genetic value that is missing from the subtree rooted at node i. The subtree rooted at a node x contains node x and all of its descendant nodes.
HardProblem #2003
LeetCodeSmallest Missing Genetic Value in Each Subtree
Related Topics
Dynamic ProgrammingTreeDepth-First SearchUnion Find
How Phantom Code Helps
Get real-time assistance for Smallest Missing Genetic Value in Each Subtree problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
parents = [-1,0,0,2], nums = [1,2,3,4]
Output
[5,1,1,1]
# Example 2
Input
parents = [-1,0,1,0,3,3], nums = [5,4,6,2,1,3]
Output
[7,1,1,4,2,1]
# Example 3
Input
parents = [-1,2,3,0,2,4,1], nums = [2,3,4,5,6,7,8]
Output
[1,1,1,1,1,1,1]
Constraints
n == parents.length == nums.length
2 <= n <= 105
0 <= parents[i] <= n - 1 for i != 0
parents[0] == -1
parents represents a valid tree.
1 <= nums[i] <= 105
Each nums[i] is distinct.
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Solve Smallest Missing Genetic Value in Each Subtree — There is a family tree rooted at 0 consisting of n nodes numbered 0 to n - 1. Yo...
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 Smallest Missing Genetic Value in Each Subtree and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Smallest Missing Genetic Value in Each Subtree 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 Smallest Missing Genetic Value in Each Subtree?
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 Smallest Missing Genetic Value in Each Subtree?
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 Smallest Missing Genetic Value in Each Subtree 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 Smallest Missing Genetic Value in Each Subtree 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 Smallest Missing Genetic Value in Each Subtree 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 Smallest Missing Genetic Value in Each Subtree 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 Smallest Missing Genetic Value in Each Subtree 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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