Extracting pure network submatrices in linear programs using signed graphs

  • Authors:
  • N. Gülpinar;G. Gutin;G. Mitra;A. Zverovitch

  • Affiliations:
  • Department of Computing, Imperial College of Science, Technology and Medicine, University of London, 180 Queen's Gate, London SW7 2BZ, UK;Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK;Department of Mathematical Sciences, Brunel University, Uxbridge, Middlesex, UB8 3PH, UK;Department of Computer Science, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK

  • Venue:
  • Discrete Applied Mathematics
  • Year:
  • 2004

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Abstract

It is shown that the problem of detecting a maximum embedded network in a linear program is related to balancing of subgraphs of signed graphs. This approach leads to a simple efficient heuristic to extract an embedded network. The proposed heuristic also determines whether a given linear program is a (reflected) network itself. Some complexity results are obtained and computational results are also reported.