Скачать или смотреть Advanced Algorithms Lecture 5: RECURSSION TREE METHOD

Welcome back to the Advanced Algorithms playlist!
In today’s lecture, we dive deep into one of the most intuitive and visual techniques to solve recurrence relations — the Recursion Tree Method.
If you find substitution methods or equations confusing, this lecture will make everything crystal clear through visuals, logic, and simple real-life analogies (thoda sa Hinglish for comfort 😄).

🎯 What You Will Learn in This Video
✔ What is a Recursion Tree?
✔ How to expand a recurrence visually
✔ How to calculate work at each level
✔ How to find total work by summing levels
✔ Understanding divide-and-conquer intuitively
✔ 3 solved recurrences:
• T(n) = 2T(n/2) + n
• T(n) = T(n/2) + n²
• T(n) = 3T(n/2) + n
✔ Real-life analogies for quick understanding
✔ Tips for exams, coding interviews, and competitive programming

📚 Why Recursion Tree Method?
The recursion tree method helps you “see” the algorithm.
You understand:
🔸 How work is distributed at each level
🔸 Why some algorithms take n log n time
🔸 Why others take quadratic or polynomial time
🔸 How divide-and-conquer actually behaves

Perfect for students preparing for:
• GATE
• Placements
• Competitive coding
• B.Tech / M.Tech exams
• Research in Algorithms

Stay tuned for the full Advanced Algorithms series!

If you find value in these lectures, do support the channel! 🙌
❤️ Support the Channel
👍 Like
💬 Comment
🔔 Subscribe
🔗 Share with your classmates

Your support motivates me to create more high-quality algorithm content.

#AdvancedAlgorithms #RecursionTreeMethod #DivideAndConquer #AlgorithmAnalysis #RecurrenceRelations #DSA #CodingInterviewPrep #TimeComplexity #ComputerScience #SwapnilPawar