Algorithms - Sort Techniques | Merge Sort. скачать в хорошем качестве

Algorithms - Sort Techniques | Merge Sort.

📌 Merge Sort | Sorting Techniques Explained (Top-Down & Bottom-Up) In this video, we explain Merge Sort, one of the most efficient and widely used sorting algorithms in computer science. You’ll learn how merge sort works using both Top-Down (Recursive) and Bottom-Up (Iterative) approaches, how arrays are divided and merged, and why merge sort is preferred for large datasets. 🔹 Topics covered in this video: • What is Merge Sort? • Top-Down Merge Sort (recursive approach) • Bottom-Up Merge Sort (iterative approach) • Step-by-step merging process • Time complexity analysis • Best, average, and worst case scenarios • When to use Merge Sort in real-world applications 🔹 Key Points: • Divide and Conquer algorithm • Consistent performance regardless of input order • Efficient for large datasets • Stable sorting algorithm • Not in-place (requires extra memory) 📊 Time Complexity (Both Approaches): • Best Case: O(n log n) • Average Case: O(n log n) • Worst Case: O(n log n) 📦 Space Complexity: • O(n) 🔍 Top-Down vs Bottom-Up: • Top-Down Merge Sort: Uses recursion to divide the array until single elements, then merges them back. • Bottom-Up Merge Sort: Uses iteration to merge subarrays starting from size 1, avoiding recursion. This video is perfect for students, beginners, and interview preparation, especially if you’re studying Data Structures & Algorithms and want to understand efficient sorting techniques in depth. 👍 Don’t forget to like, share, and subscribe for more sorting algorithms! #MergeSort #SortingAlgorithms #DataStructures #Algorithms #ComputerScience #DSA #Programming #Coding #DivideAndConquer