Minimum Difference Between Highest and Lowest of K Scores | LeetCode 1984 🔥 Sliding Window скачать в хорошем качестве

Minimum Difference Between Highest and Lowest of K Scores | LeetCode 1984 🔥 Sliding Window

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