Advanced Algorithmic Concepts
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 3 in Knapsack Problems, 2004, pp 43-72 from Springer
Abstract:
Abstract There are several more technical algorithmic aspects which are useful tools for many of the algorithms presented throughout this book. Although some of them may be seen only as implementational details, others are nice algorithmic and structural ideas on their own. Both of these categories are frequently crucial to derive the claimed running time bounds. We will try to present them as “black boxes” which means that we state explicitly a certain algorithmic property or a feature to be used by algorithms thereafter. The corresponding detailed description or justification is given for the interested reader but may be omitted without loss of understanding in the remaining chapters.
Keywords: Knapsack Problem; Valid Inequality; Minimal Cover; Balance Solution; Open Node (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_3
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DOI: 10.1007/978-3-540-24777-7_3
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