Fractional Knapsack
GreedyEasyGreedily select commodities density ratios to maximize knapsack profit values.
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Sorted Density Items Filling Audit
Time Complexity
O(N log N) sorting + O(N) sweep
Space Complexity
O(N) items array storage
Conceptual Overview
The Fractional Knapsack problem permits items to be broken down fractionally. Given items of weights and values, fill a knapsack of capacity W to maximize value.
Greedy Choice Property
Always pick the item with the highest value-per-unit-weight density (value / weight) next. If the capacity is filled before exhausting the item, take a fraction.
Optimal Substructure
An optimal solution to fractional knapsack contains the highest density item plus the optimal solution to the remaining subproblem with decreased capacity.
Proof Idea / Correction
Proof by contradiction: if we select a lower-density item over a higher-density one, swapping the lower-density fraction with the higher-density one yields a strictly higher profit.
Source: CP-Algorithms greedy reference