
Abstract A fully polynomial ϵ-approximation algorithm is developed for the 0–1 knapsack problem. The algorithm uses results of Lawler and Ibarra and Kim. A pseudo-polynomial dynamic programming algorithm is first suggested which solves the problem in O( nb log n ) time and O( b ) space.
Numerical mathematical programming methods, Analysis of algorithms and problem complexity, Boolean programming, NP- complete problem, Dynamic programming, polynomial epsilon-approximation algorithm, 0-1 knapsack problem
Numerical mathematical programming methods, Analysis of algorithms and problem complexity, Boolean programming, NP- complete problem, Dynamic programming, polynomial epsilon-approximation algorithm, 0-1 knapsack problem
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