2168. Unique Substrings With Equal Digit Frequency

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Actually, brute force can work due to constrains. However, if we count the frequency every time, the time complexity will be O(n**3), which may lead to a TLE.

So a simple way is to memorize the maximum frequency of digits in the substring, the unique digits appear in the substring, and multiple them to see if the length equals end – start + 1.

New knowledge: rolling hash

Rolling hash is a way to turn a string into a unique number. It’s quicker since to compare strings need O(L) time, but to compare numbers we only need O(1) time.

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