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LeetCode 2573 | Find the String with LCP | Java | Hard | Greedy & Dynamic Programming | CodeByTushu

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LeetCode 2573 | Find the String with LCP | Java | Hard | Greedy & Dynamic Programming | CodeByTushu

Description: πŸš€ Welcome Back to CodeByTushu!

In today’s video, we solve LeetCode 2573 β€” Find the String with LCP using Greedy and Dynamic Programming in Java.

We are given an n by n matrix representing the Longest Common Prefix (LCP) between all pairs of suffixes of an unknown string. Our task is to reconstruct the lexicographically smallest lowercase English string that generates this exact matrix, or return an empty string if no such string can exist.

We apply a two-stage approach: first, we greedily assign the smallest available English letters ('a' through 'z') to unvisited indices, grouping matching positions where lcp[i][j] is greater than zero. Second, since arbitrary inputs may contain transitivity violations, asymmetric relations, or impossible length values, we validate our candidate string using bottom-up dynamic programming in optimal O(n^2) time and O(n) auxiliary space.

πŸ”₯ Problem Highlights

βœ… Greedy left-to-right character assignment ensuring lexicographical minimality
βœ… Character grouping based on positive longest common prefix values
βœ… Immediate early termination if more than 26 distinct character classes are needed
βœ… Robust verification using bottom-up 2D Dynamic Programming
βœ… Guarding against self-contradictions, invalid diagonals, and asymmetry
βœ… Optimal O(n^2) time complexity and O(n) auxiliary space

⏱️ TIMESTAMPS

00:00 Intro & Daily Challenge Overview
01:25 Problem Understanding & LCP Matrix Definition
03:30 Key Observations: Greedy Lexicographical Assignment & 26-Character Limit
05:44 Algorithmic Strategy: Backward 2D DP Verification
07:27 Clean Java Solution Walkthrough Line by Line
09:02 Dry Run & Step-by-Step Example Walkthrough
12:00 Time Complexity Analysis (O(N^2) - 10 ms, Beats 98.6%)
13:10 Space Complexity Analysis (O(N) Auxiliary Space)
14:00 Outro & Resources

πŸ“‚ Problem Folder & Detailed Documentation:
https://github.com/CodeByTushu/CodeByTushu-LeetCode-Solutions/tree/main/solutions/March/28-March/2573-Find-the-String-with-LCP

β˜• Java Solution:
https://github.com/CodeByTushu/CodeByTushu-LeetCode-Solutions/blob/main/solutions/March/28-March/2573-Find-the-String-with-LCP/Solution.java

🐍 Python Solution:
https://github.com/CodeByTushu/CodeByTushu-LeetCode-Solutions/blob/main/solutions/March/28-March/2573-Find-the-String-with-LCP/solution.py

⚑ C++ Solution:
https://github.com/CodeByTushu/CodeByTushu-LeetCode-Solutions/blob/main/solutions/March/28-March/2573-Find-the-String-with-LCP/solution.cpp

🌐 JavaScript Solution:
https://github.com/CodeByTushu/CodeByTushu-LeetCode-Solutions/blob/main/solutions/March/28-March/2573-Find-the-String-with-LCP/solution.js

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πŸ’¬ Question of the Day

Why is it essential to re-verify the candidate string with a 2D DP check after greedy construction?

1️⃣ Because the input LCP matrix may contain invalid values, transitivity conflicts, or impossible suffix lengths that cannot correspond to any real string
2️⃣ Because lowercase letters only allow strings of length at most 26
3️⃣ Because the greedy step only checks odd indices
4️⃣ Because dynamic programming is required to find the string's length

#LeetCode2573 #LeetCode #FindTheStringWithLCP #Java #JavaDSA #String #DynamicProgramming #Greedy #Matrix #DSA #CodingInterview #ProblemSolving #LeetCodeHard #DailyLeetCode #JavaProgramming #CodeByTushu

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