Dynamic Programming Complete Course for Beginners | Learn Dynamic Programming from Scratch
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In this video, we at SCALER bring you a detailed course on dynamic programming for beginners. Watch this tutorial to get an understanding of dynamic programming and how you can solve various problems using DP. Learn more about SCALER now: https://bit.ly/3ubu7so
What is Dynamic Programming?
Dynamic programming is both a mathematical optimisation method and a computer programming method. The method was developed by Richard Bellman in the 1950s and has found applications in numerous fields, from aerospace engineering to economics. In both contexts, it refers to simplifying a complicated problem by breaking it down into simpler sub-problems in a recursive manner. While some decision problems cannot be taken apart this way, decisions that span several points in time do often break apart recursively. Likewise, in computer science, if a problem can be solved optimally by breaking it into sub-problems and then recursively finding the optimal solutions to the sub-problems, then it is said to have an optimal substructure.
The following topics are covered in this tutorial:
0:00 – Introduction
0:55 – Introduction To Dynamic Programming
1:21:51 – Coin Change Problem Using Dynamic Programming
2:15:27 – Longest Common Subsequence Using Dynamic Programming
3:04:18 – Edit Distance Using Dynamic Programming
3:33:44 – Knapsack Problem Using Dynamic Programming
4:07:22 – Minimum Cost Path Sum Using Dynamic Programming
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