Fractional Knapsack Problem
The Fractional Knapsack Problem is a classic optimization problem in computer science and mathematics. It involves a knapsack with a fixed capacity and a set of items, each with a specific weight and value. The goal is to maximize the total value of items placed in the knapsack, allowing for the possibility of taking fractions of items rather than whole ones.
This problem differs from the 0/1 Knapsack Problem, where items must be taken in whole. The Fractional Knapsack Problem can be efficiently solved using a greedy algorithm, which prioritizes items based on their value-to-weight ratio, ensuring the most valuable items are included first.