Skip to main content\(\newcommand{\powerset}[1]{\mathcal{P}(#1)}
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Section C.11 A2: Dynamic Programming
Synopsis.
Dynamic programming is a technique to solve optimization problems that have optimal substructure
It uses memoization/tabulation to solve problems with overlapping sub-problems more efficiently
Intro example is shortest path; demonstrate that longest simple paths doesn't have optimal sub-structure
Explain memoization by Fibonacci numbers or binomial numbers
Introduction edit distance as an optimization problem and go through example.
