Which approach is commonly used to solve the Knapsack Problem?
- Backtracking
- Divide and Conquer Approach
- Dynamic Programming
- Greedy Approach
Dynamic Programming is commonly used to solve the Knapsack Problem efficiently. This approach breaks down the problem into smaller subproblems and stores the solutions to these subproblems, enabling optimal solutions to be computed without redundant calculations.
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