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Dynamic Programming
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Dynamic Programming
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1 D
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3:20
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Frame of Reference
The Knapsack Problem: Dynamic Programming (Animated)
You have a bag with a weight limit and a pile of items, each with a weight and a value. Which items should you pack to get the most value without going over the limit? The naive answer: try every possible subset. But that doubles with every item you add — five items is thirty-two combinations, forty items is a trillion. It's completely ...
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