Recurrence Relations Explained | Mastering Time Complexity in Recursive Algorithms

What’s really going on behind recursive functions? 🤔
In this video, we dive into Recurrence Relations — a powerful tool used to analyze the time complexity of recursive algorithms.

📚 What You’ll Learn:

✅ What is a recurrence relation?
✅ How to form recurrence relations from recursive code
✅ Common examples like Fibonacci, Merge Sort, and Tower of Hanoi
✅ Methods to solve them:
  • Substitution (Iteration) Method
  • Recursion Tree Method
  • Master Theorem
✅ How to simplify complex recursive time complexities

By the end of this video, you’ll understand how to calculate the efficiency of recursive algorithms and how to choose the best method to solve recurrence relations.

📌 Perfect for students, DSA learners, and coding interview prep!

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Видео Recurrence Relations Explained | Mastering Time Complexity in Recursive Algorithms канала Computer Tutorials