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Minimum Window Substring | LEETCODE | TOP INTERVIEW 150 | C++ #leetcode #education #coding #dsaprep

In this video, we solve the Minimum Window Substring problem from LeetCode using an optimized sliding window approach. This is a commonly asked question in FAANG interviews and is part of the Top Interview 150 questions.

🔹 Problem Statement:
Given two strings s and t, find the smallest substring in s that contains all characters of t (including frequency). If no such substring exists, return "".

🔹 Approach:
✅ Use two pointers (left & right) and a hashmap to track character frequencies.
✅ Expand the right pointer to include characters in the window.
✅ Contract the left pointer to minimize the window while still covering t.
✅ Track the minimum window size and update the result accordingly.

🔹 Time Complexity: O(N) (where N is the length of s)
🔹 Space Complexity: O(1) (since the character set is fixed to 256)

📌 Code in C++ with detailed explanation! 💡

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#LeetCode #C++ #DSA #SlidingWindow #CodingInterview #FAANG #Algorithms #CompetitiveProgramming #DataStructures #TopInterview150 #MinimumWindowSubstring

Видео Minimum Window Substring | LEETCODE | TOP INTERVIEW 150 | C++ #leetcode #education #coding #dsaprep канала EXAM RIDER (PEC ,chd)
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