Overlapping Subproblems Property
Like Divide and Conquer, Dynamic Programming combines solutions to sub-problems. Dynamic Programming is mainly used when solutions to the same subproblems are needed again and again. In dynamic programming, computed solutions to subproblems are stored in a table so that these don’t have to be recomputed. So dynamic Programming is not useful when there are no common (overlapping) subproblems because there is no point in storing the solutions if they are not needed again. For example, Binary Search doesn’t have common subproblems. If we take the example of following a recursive program for Fibonacci Numbers, there are many subproblems that are solved again and again.
Dynamic Programming (DP) Notes for GATE Exam [2024]
As the GATE Exam 2024 is coming up, having a good grasp of dynamic programming is really important for those looking to tackle tricky computational problems. These notes are here to help you understand the basic principles, strategies, and real-life uses of dynamic programming. They’re like a handy guide to becoming a pro at dynamic programming, making it easier for you to ace the GATE exam. So, get ready to dive into the world of dynamic programming and make problem-solving a breeze!
Table of Content
- What is Dynamic Programming?
- Overlapping Subproblems Property
- Optimal Substructure Property
- Standard problems on Dynamic Programming
- Previously Asked Problems of Dynamic Programming on GATE
Contact Us