What is Dynamic Programming all about?


 Dynamic Programming is a paradigm of algorithmic programming that solves a complex problem by breaking it down into several sub-problems and storing the results of those sub-problems to avoid computing the same sub-problem again and again.

Dynamic Programming follows two approaches:

Top-Down Approach(Memorization) - If recursion is used to break down the whole problem into smaller pieces.

Bottom-Up Approach (Tabulation) - If an iterative approach is taken, then this is called the Bottom-Up approach.

To know more the dynamic programming, read this blog - Understanding Dynamic Programming.

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