The Bounded Knapsack Problem
Hans Kellerer (),
Ulrich Pferschy () and
David Pisinger ()
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Hans Kellerer: University of Graz, Department of Statistics and Operations Research
Ulrich Pferschy: University of Graz, Department of Statistics and Operations Research
David Pisinger: University of Copenhagen, DIKU, Department of Computer Science
Chapter 7 in Knapsack Problems, 2004, pp 185-209 from Springer
Abstract:
Abstract Right from the beginning of research on the knapsack problem in the early six-ties separate considerations were devoted to problems where a number of identical copies of every item are given or even an unlimited amount of each item is available. The corresponding problems are known as the bounded and unbounded knapsack problem, respectively. Since there exists a considerable amount of theoretical, algorithmic and computational results which apply for only one of these two problems, we found it appropriate to deal with them in separate chapters. Hence, we restrict this chapter to the bounded case whereas the unbounded case will be treated in Chapter 8.
Keywords: Dynamic Programming; Greedy Algorithm; Knapsack Problem; Dynamic Programming Algorithm; Item Type (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-24777-7_7
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DOI: 10.1007/978-3-540-24777-7_7
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