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How to Solve Maximize Distance to Closest Person Problem
Master the Maximize Distance to Closest Person LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#849
LeetCode ProblemMaximize Distance to Closest Person
You are given an array representing a row of seats where seats[i] = 1 represents a person sitting in the ith seat, and seats[i] = 0 represents that the ith seat is empty (0-indexed). There is at least one empty seat, and at least one person sitting. Alex wants to sit in the seat such that the distance between him and the closest person to him is maximized. Return that maximum distance to the closest person.
Array
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Problem Breakdown
Understanding the Maximize Distance to Closest Person Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an array representing a row of seats where seats[i] = 1 represents a person sitting in the ith seat, and seats[i] = 0 represents that the ith seat is empty (0-indexed). There is at least one empty seat, and at least one person sitting. Alex wants to sit in the seat such that the distance between him and the closest person to him is maximized. Return that maximum distance to the closest person.
MediumProblem #849
LeetCodeMaximize Distance to Closest Person
Related Topics
Array
How Phantom Code Helps
Get real-time assistance for Maximize Distance to Closest Person problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
seats = [1,0,0,0,1,0,1]
Output
2
# Example 2
Input
seats = [1,0,0,0]
Output
3
# Example 3
Input
seats = [0,1]
Output
1
Constraints
2 <= seats.length <= 2 * 104
seats[i] is 0 or 1.
At least one seat is empty.
At least one seat is occupied.
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Solve Maximize Distance to Closest Person — You are given an array representing a row of seats where seats[i] = 1 represents...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Undetectability Checklist
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Platform Compatibility
Zoom
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Google Meet
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HackerRank
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CodeSignal
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CoderPad
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Teams
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Undetectability and technical details
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Frequently Asked Questions
Common questions about solving Maximize Distance to Closest Person and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximize Distance to Closest Person 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 Maximize Distance to Closest Person?
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 Maximize Distance to Closest Person?
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 Maximize Distance to Closest Person 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 Maximize Distance to Closest Person 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 Maximize Distance to Closest Person 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 Maximize Distance to Closest Person 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 Maximize Distance to Closest Person 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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