Algorithms Explained #5: Dynamic Programming

Explanation of dynamic programming with example solutions to discrete knapsack and longest common subsequence problems in Python

Claudia Ng
Towards Data Science
5 min readOct 12, 2022

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Image by Mohamed Hassan from Pixabay

Dynamic programming is useful for solving problems that have overlapping subproblems and an optimal substructure. In the previous article on greedy algorithms, we talked about…

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