The "Count Pairs of Equal Substrings With Minimum Difference interview question" is a string alignment challenge. You are given two strings, and . You need to find pairs of indices such that the character is equal to . Among all such pairs, you are specifically interested in those where the difference between the indices is minimized. Your goal is to count how many such "minimal difference" pairs exist.
Google uses the "Count Pairs of Equal Substrings With Minimum Difference coding problem" to test a candidate's ability to optimize search operations using hash tables. It evaluates if you can identify that comparing every character in with every character in () is unnecessary. It’s a test of "Hash Table interview pattern" and "Greedy" logic.
This problem relies on Hash Tables and Prefix/Suffix Tracking.
first_pos[char] = index.last_pos[char] = index.diff = first_pos[char] - last_pos[char].diff found so far and count how many characters achieve it.,
{a:0, b:1, c:3}{a:6, b:5, c:3}When asked to find a "minimum difference" in a string or array, always consider if pre-calculating the first or last occurrence of elements helps. This "Greedy interview pattern" is a standard way to avoid nested loops.
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|---|---|---|---|
| Optimal Partition of String | Medium | Solve | |
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| Construct K Palindrome Strings | Medium | Solve | |
| Minimum Deletions to Make Character Frequencies Unique | Medium | Solve | |
| Partition Labels | Medium | Solve |