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Update intro-to-dp.md
Someone added the r to memoization despite the beginning of the article literally mentioning not to do this 😔.😂
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src/dynamic_programming/intro-to-dp.md

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@@ -81,7 +81,7 @@ $$\text{work per subproblem} * \text{number of subproblems}$$
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Using a binary search tree (map in C++) to save states will technically result in $O(n \log n)$ as each lookup and insertion will take $O(\log n)$ work and with $O(n)$ unique subproblems we have $O(n \log n)$ time.
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This approach is called top-down, as we can call the function with a query value and the calculation starts going from the top (queried value) down to the bottom (base cases of the recursion), and makes shortcuts via memorization on the way.
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This approach is called top-down, as we can call the function with a query value and the calculation starts going from the top (queried value) down to the bottom (base cases of the recursion), and makes shortcuts via memoization on the way.
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## Bottom-up Dynamic Programming
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