Fractional Knapsack Problem
📖 Scenario: You are helping a delivery company pack valuable items into a knapsack. Each item has a weight and a value. The knapsack can carry a limited weight. To maximize profit, you can take fractions of items.
🎯 Goal: Build a program that calculates the maximum total value that fits into the knapsack by taking whole or fractional parts of items.
📋 What You'll Learn
Create an array of items with exact weights and values
Add a variable for the knapsack's maximum weight capacity
Implement the fractional knapsack logic to maximize total value
Print the maximum total value with two decimal places
💡 Why This Matters
🌍 Real World
This problem models packing cargo, loading trucks, or resource allocation where partial quantities can be chosen.
💼 Career
Understanding greedy algorithms like fractional knapsack is important for optimization tasks in software engineering and data science.
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