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Interior Point Methods for Combinatorial Optimization

In: Handbook of Combinatorial Optimization

Author

Listed:
  • John E. Mitchell

    (Renssaeler Polytechnic Institute, Mathematical Sciences)

  • Panos M. Pardalos

    (University of Florida, Center for Applied Optimization, ISE Department)

  • Mauricio G. C. Resende

    (AT&T Labs Research, Information Sciences Research)

Abstract

Interior-point methods, originally invented in the context of linear programming, have found a much broader range of applications, including discrete problems that arise in computer science and operations research as well as continuous computational problems arising in the natural sciences and engineering. This chapter describes the conceptual basis and applications of interior-point methods for discrete problems in computing.

Suggested Citation

  • John E. Mitchell & Panos M. Pardalos & Mauricio G. C. Resende, 1998. "Interior Point Methods for Combinatorial Optimization," Springer Books, in: Ding-Zhu Du & Panos M. Pardalos (ed.), Handbook of Combinatorial Optimization, pages 189-297, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4613-0303-9_4
    DOI: 10.1007/978-1-4613-0303-9_4
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