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How to Solve Longest Common Prefix Between Adjacent Strings After Removals Problem
Master the Longest Common Prefix Between Adjacent Strings After Removals LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#3598
LeetCode ProblemLongest Common Prefix Between Adjacent Strings After Removals
You are given an array of strings words. For each index i in the range [0, words.length - 1], perform the following steps: Return an array answer, where answer[i] is the length of the longest common prefix between the adjacent pairs after removing the element at index i. If no adjacent pairs remain or if none share a common prefix, then answer[i] should be 0.
ArrayString
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Problem Breakdown
Understanding the Longest Common Prefix Between Adjacent Strings After Removals Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an array of strings words. For each index i in the range [0, words.length - 1], perform the following steps: Return an array answer, where answer[i] is the length of the longest common prefix between the adjacent pairs after removing the element at index i. If no adjacent pairs remain or if none share a common prefix, then answer[i] should be 0.
MediumProblem #3598
LeetCodeLongest Common Prefix Between Adjacent Strings After Removals
Related Topics
ArrayString
How Phantom Code Helps
Get real-time assistance for Longest Common Prefix Between Adjacent Strings After Removals problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
words = ["jump","run","run","jump","run"]
Output
[3,0,0,3,3]
# Example 2
Input
words = ["dog","racer","car"]
Output
[0,0,0]
Constraints
1 <= words.length <= 105
1 <= words[i].length <= 104
words[i] consists of lowercase English letters.
The sum of words[i].length is smaller than or equal 105.
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Solve Longest Common Prefix Between Adjacent Strings After Removals — You are given an array of strings words. For each index i in the range [0, words...
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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Frequently Asked Questions
Common questions about solving Longest Common Prefix Between Adjacent Strings After Removals and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Longest Common Prefix Between Adjacent Strings After Removals 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 Longest Common Prefix Between Adjacent Strings After Removals?
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 Longest Common Prefix Between Adjacent Strings After Removals?
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 Longest Common Prefix Between Adjacent Strings After Removals 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 Longest Common Prefix Between Adjacent Strings After Removals 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 Longest Common Prefix Between Adjacent Strings After Removals 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 Longest Common Prefix Between Adjacent Strings After Removals 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 Longest Common Prefix Between Adjacent Strings After Removals 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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