# knapsack problem

(classic problem)

Definition: Given items of different values and volumes, find the most valuable set of items that fit in a knapsack of fixed volume.

Formal Definition: There is a knapsack of capacity c > 0 and N items. Each item has value vi > 0 and weight wi > 0. Find the selection of items (δi = 1 if selected, 0 if not) that fit, ∑i=1N δiwi ≤ c, and the total value, ∑i=1N δivi, is maximized.

Also known as 0-1 knapsack problem, binary knapsack problem.

Note: Also called 0-1 or binary knapsack (each item may be taken (1) or not (0)), in contrast to the fractional knapsack problem. Also called bounded knapsack (BKP) because there are a limited number of items, in contrast to the unbounded knapsack problem. The decision problem is, given items of different values and volumes and a knapsack, is there a subset that exceeds a certain value? The decision problem is NP-complete.

Author: PEB

## Implementation

Steven Skiena's Stony Brook Algorithm Repository (Fortran and Pascal). GAMS Class G2c3 (Fortran).