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What is Dynamic Programming in CS 3510 about?

This document discusses dynamic programming and provides examples of how to use it to solve problems more efficiently. It begins with an overview of dynamic programming as a technique to solve problems in O(n^2) or O(n^3) time that would otherwise take exponential time. It then provides examples of using dynamic programming to solve the longest common subsequence problem and the knapsack problem in polynomial time. For each problem it explains the recursive formulation and how to apply memoization or bottom

Author

mansha99

Language

EN