Minimum Difference Between Highest and Lowest of K Scores | LeetCode 1984 🔥 Sliding Window
Автор: Placement Ready
Загружено: 2026-01-25
Просмотров: 6
Описание:
In this video, we’ll solve the “Minimum Difference” problem step by step using a simple and efficient approach.
🔍 Problem Idea:
Given an array of numbers and a value k, we need to pick any k elements such that the difference between the maximum and minimum among them is as small as possible.
🧠 Key Insight:
If we sort the array, the closest k numbers will always appear next to each other. This allows us to avoid checking all combinations.
⚙️ Approach Explained:
Sort the array so numbers are in increasing order.
Use a sliding window of size k.
For each window:
The minimum is the first element
The maximum is the last element
Compute the difference.
Keep track of the minimum difference found.
📈 Why This Works Efficiently:
Sorting ensures nearby numbers are close in value.
Sliding window reduces time complexity to O(n log n).
🛠 Edge Cases Covered:
Works for any order of input numbers
Handles large values safely using infinity
📌 By the end of this video, you’ll understand:
Why sorting is crucial
How sliding window simplifies the problem
How to think optimally for interview questions
Perfect for coding interviews, DSA practice, and LeetCode prep 🚀
#LeetCode #LeetCode1984 #SlidingWindow #Sorting #ArrayProblems #LeetCodeDaily #Greedy #DSA #Java #InterviewPreparation #algorithms #engineering #placementprep #amazon #bruteforce #programming #codinginterview
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