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Generate all substrings in O(N^2) time with hashing.
Choose those hashing of strings with the largest length.
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Yes, variations of substring repetition and suffix-based problems are frequently asked in FAANG-style interviews. They test knowledge of string algorithms, hashing, and optimization techniques like binary search on answer.
The most common optimal approach uses binary search combined with a rolling hash technique. Binary search determines the candidate substring length while hashing efficiently checks whether a duplicate substring of that length exists.
Yes, dynamic programming can be used by comparing pairs of suffixes and tracking the longest common substring length. However, this approach typically requires O(n^2) time and space, making it less efficient for large inputs.
Hash sets are commonly used with rolling hash to track previously seen substring hashes. Advanced solutions may also use suffix arrays or suffix trees to efficiently compare adjacent suffixes.