Coin Changing Problem | Dynamic Programming | Design and Analysis of Algorithms | Examples |Tamil

Coin Changing Problem | Dynamic Programming | Design and Analysis of Algorithms | Examples |Tamil In this video, we explore the Coin Change Problem using Dynamic Programming, a fundamental technique in Design and Analysis of Algorithms (DAA). The session covers: • Problem definition and mathematical formulation • Recursive approach and its limitations • Bottom-up DP table construction • Time and space complexity analysis • Two detailed worked examples • Common mistakes students make in exams This lecture is ideal for: B.E. / B.Tech Computer Science students M.E. / M.S. scholars GATE aspirants University exam preparation Anyone learning Dynamic Programming fundamentals By the end of this video, you will clearly understand: ✔ How to derive the recurrence relation ✔ How to construct and fill the DP table ✔ How to analyze time complexity ✔ The difference between minimum coins and number of ways variations 📘 Subject: Design and Analysis of Algorithms 🎓 Instructor: Dr. S. Uma, B.E., M.S. (By Res.), Ph.D. If you found this lecture helpful, like, share, and subscribe for more DAA and advanced algorithm tutorials.