Master data

Title: Semidefinite Relaxations of Ordering Problems
Subtitle:
Abstract: Ordering problems assign weights to each ordering and ask to find an ordering of maximum weight. We consider problems where the cost function is either linear or quadratic. In the first case, there is a given profit if the element u is before v in the ordering. In the second case, the profit depends on whether u is before v and r is before s . The linear ordering problem is well studied, with exact solution methods based on polyhedral relaxations. The quadratic ordering problem does not seem to have attracted similar attention. We present a systematic investigation of semidefinite optimization based relaxations for the quadratic ordering problem, extending and improving existing approaches. We show the efficiency of our relaxations by providing computational experience on a variety of problem classes.
Keywords:
Publication type: Article in journal (Authorship)
Publication date: 01.08.2013 (Print)
Published by: Mathematical Programming
Mathematical Programming
to publication
 ( Springer Verlag GmbH; )
Title of the series: -
Volume number: 140
Issue: 1
First publication: Yes
Version: -
Page: pp. 77 - 97

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ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1007/s10107-012-0627-7
Homepage: -
Open access
  • No open access
Publication date: 01.08.2013
ISBN: -
ISSN: -
Homepage: -

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Mathematik
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   math@aau.at
https://www.aau.at/mathematik
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1121 - Operations research
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index (SCI)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
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working groups No working group selected

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Articles of the publication

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