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      Question

      Which of the following problems is typically solved

      using Dynamic Programming, where items cannot be broken into smaller pieces?
      A Fractional Knapsack Problem Correct Answer Incorrect Answer
      B Activity Selection Problem Correct Answer Incorrect Answer
      C 0/1 Knapsack Problem Correct Answer Incorrect Answer
      D Minimum Spanning Tree Correct Answer Incorrect Answer
      E Shortest Path in a DAG Correct Answer Incorrect Answer

      Solution

      The 0/1 Knapsack Problem involves selecting items, each with a weight and a value, to maximize the total value within a given capacity, with the constraint that each item can either be taken entirely (1) or not at all (0). This problem exhibits optimal substructure and overlapping subproblems, making it a classic DP problem. The Fractional Knapsack Problem, where items can be broken, is solved by a greedy approach.

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