Dynamic Programming Made Easy for Beginners 2023 | Dynamic Programming Problems | Data Structures

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What is Dynamic Programming?

Dynamic Programming is an algorithmic technique for solving an optimization problem by breaking it down into simpler subproblems and utilizing the fact that the optimal solution to the overall problem depends upon the optimal solution to its subproblems. So that their results can be reused. Mostly, these algorithms are used for optimization. Before solving the in-hand sub-problem, a dynamic algorithm will try to examine the results of the previously solved sub-problems.

The advantage of dynamic programming is that it can obtain both local and total optimal solutions. Also, practical knowledge can be used to gain the higher efficiency of dynamic programming. However, there is no standard model for dynamic programming, multiple conditions may appear during the solving process.

The following topics are covered in this "Dynamic Programming" tutorial:

0:00 - Introduction
1:04 - Dynamic programming
12:10 - Definition of dynamic programming
17:05 - When to use dynamic programming
29:54 - different approaches
59:13 - Top down vs bottom
1:07:15 - Last problem
1:18:10 - Key takeaways

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