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Dynamic Programming is an algorithmic technique with the following properties. It is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming. Algorithms Dynamic Programming Similar Reads. DSA Tutorial - Learn Data Structures

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Introduction to Dynamic Programming The essence of dynamic programming is to avoid repeated calculation. Often, dynamic programming problems are naturally solvable by recursion. In such cases, it's easiest to write the recursive solution, then save repeated states in a lookup table. This process is known as top-down dynamic programming with

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There are so many fascinating DP problems to visualize, patterns to uncover, and concepts to explore together. Whether you're preparing for interviews, studying algorithms, or simply curious about DP, I hope these visualizations help illuminate your path as they did mine. Let's make Dynamic Programming less daunting, one visualization at a time.

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