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Learn Data Structures and Algorithms in Go

Problem: Minimum Window Substring

Explore how to implement a sliding window algorithm in Go to solve the minimum window substring problem. Understand use of two pointers and hash maps to track character frequencies, enabling an optimal O(m+n) time complexity solution that handles duplicates and varying character sets.

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Statement

Given two strings s and t of lengths m and n, respectively, find the minimum window substring of s that contains every character in t, including duplicate characters. If no such substring exists, return an empty string "".

The test cases are generated such that the answer is always unique.

Note: Can you find an algorithm that runs in O(m+n)O(m + n) time?

Constraints:

  • m ==== s.length

  • n ==== t.length

  • 1≤1 \leq m, n ≤105\leq 10^5 ...