The Pitfalls of Dynamic Programming and What to Use Instead

Geek Nomad
Stackademic
Published in
4 min readMay 9, 2024

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Photo by Clément Hélardot on Unsplash

Dynamic programming (DP) is a powerful algorithmic technique that solves complex problems by breaking them into simpler subproblems. While it has proven highly effective in various domains, it’s not without drawbacks. In this story, we will explore why dynamic programming can be considered problematic, particularly in an industrial context, and discuss viable alternatives.

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