<
application, mathematics> Given a
set of items, each with a
cost and a value, determine the number of each item to include
in a collection so that the total cost is less than some given
cost and the total value is as large as possible.
The 0/1
knapsack problem restricts the number of each items to
zero or one.
Such
constraint satisfaction problems are often solved using
dynamic programming.
The general
knapsack problem is
NP-hard, and this has led to
attempts to use it as the basis for
public-key encryption
systems. Several such attempts failed because the
knapsack
problems they produced were in fact solvable by
polynomial-time algorithms.
[
Are there any trusted knapsack-based public-key
cryptosystems?].
(1995-04-10)