Dynamic Programming with it's applications
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- Опубликовано: 9 сен 2024
- Dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. It is particularly useful for optimization problems where solutions can be composed of solutions to subproblems. By storing the results of subproblems (often in a table), dynamic programming avoids redundant calculations, making it much more efficient than naive recursion. It is typically implemented using either a bottom-up (iterative) approach or a top-down (recursive with memoization) approach.
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