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Review:

Dynamic Programming

overall review score: 4.5
score is between 0 and 5
Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems and storing the solutions to those subproblems.

Key Features

  • Optimal substructure
  • Overlapping subproblems
  • Memoization
  • Tabulation

Pros

  • Efficient solution for many optimization problems
  • Can greatly reduce time complexity
  • Easy to implement once the problem is broken down

Cons

  • Requires a deep understanding of the problem to correctly identify subproblems
  • Can be challenging to come up with a recursive formula for some problems

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Last updated: Sat, Feb 1, 2025, 07:35:58 PM UTC