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How to Solve Lexicographically Smallest Equivalent String Problem
Master the Lexicographically Smallest Equivalent String LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#1061
LeetCode ProblemLexicographically Smallest Equivalent String
You are given two strings of the same length s1 and s2 and a string baseStr. We say s1[i] and s2[i] are equivalent characters. Equivalent characters follow the usual rules of any equivalence relation: For example, given the equivalency information from s1 = "abc" and s2 = "cde", "acd" and "aab" are equivalent strings of baseStr = "eed", and "aab" is the lexicographically smallest equivalent string of baseStr. Return the lexicographically smallest equivalent string of baseStr by using the equivalency information from s1 and s2.
StringUnion Find
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Problem Breakdown
Understanding the Lexicographically Smallest Equivalent String Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given two strings of the same length s1 and s2 and a string baseStr. We say s1[i] and s2[i] are equivalent characters. Equivalent characters follow the usual rules of any equivalence relation: For example, given the equivalency information from s1 = "abc" and s2 = "cde", "acd" and "aab" are equivalent strings of baseStr = "eed", and "aab" is the lexicographically smallest equivalent string of baseStr. Return the lexicographically smallest equivalent string of baseStr by using the equivalency information from s1 and s2.
MediumProblem #1061
LeetCodeLexicographically Smallest Equivalent String
Related Topics
StringUnion Find
How Phantom Code Helps
Get real-time assistance for Lexicographically Smallest Equivalent String problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
s1 = "parker", s2 = "morris", baseStr = "parser"
Output
"makkek"
# Example 2
Input
s1 = "hello", s2 = "world", baseStr = "hold"
Output
"hdld"
# Example 3
Input
s1 = "leetcode", s2 = "programs", baseStr = "sourcecode"
Output
"aauaaaaada"
Constraints
1 <= s1.length, s2.length, baseStr <= 1000
s1.length == s2.length
s1, s2, and baseStr consist of lowercase English letters.
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Solve Lexicographically Smallest Equivalent String — You are given two strings of the same length s1 and s2 and a string baseStr. We ...
Here's the optimal approach using String:
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 Lexicographically Smallest Equivalent String and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Lexicographically Smallest Equivalent String 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 Lexicographically Smallest Equivalent String?
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 Lexicographically Smallest Equivalent String?
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 Lexicographically Smallest Equivalent String 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 Lexicographically Smallest Equivalent String 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 Lexicographically Smallest Equivalent String 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 Lexicographically Smallest Equivalent String 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 Lexicographically Smallest Equivalent String 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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