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What is Greedy vs Dynamic Programming in Knapsack about?

- Greedy and dynamic programming are methods for solving optimization problems. Greedy algorithms are usually more efficient but may not find the optimal solution, while dynamic programming can guarantee optimality. - The knapsack problem involves selecting a subset of items that fit in a knapsack and maximize the total value or benefit. There are 0/1 and fractional variants. - Greedy algorithms for 0/1 knapsack may not be optimal, while an algorithm that selects the maximum of the greedy and single best

Author

Joy Singh

Language

EN