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Maximum skew-symmetric flows

  • Session 3. Chair: Giuseppe Italiano
  • Conference paper
  • First Online:
Algorithms — ESA '95 (ESA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 979))

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Abstract

We introduce the maximum skew-symmetric flow problem which generalizes flow and matching problems. We develop a theory of skew-symmetric flows that is parallel to the classical flow theory. We use the newly developed theory to extend, in a natural way, the blocking flow method of Dinitz to the skew-symmetric flow case. In the special case of the skew-symmetric flow problem that corresponds to cardinality matching, our algorithm is simpler and more efficient than the corresponding matching algorithm.

The first author was supported in part by NSF Grant CCR-9307045.

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Author information

Author notes

  1. Andrew V. Goldberg

    Present address: NEC Research Inst., 4 Independence Way, 08540, Princeton, NJ

Authors and Affiliations

  1. Computer Science Department, Stanford University, 94305, Stanford, CA, USA

    Andrew V. Goldberg

  2. Inst. for Systems Analysis, 9, Prospect 60 Let Oktyabrya, 117312, Moscow, Russia

    Alexander V. Karzanov

Authors
  1. Andrew V. Goldberg
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  2. Alexander V. Karzanov
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Paul Spirakis

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© 1995 Springer-Verlag Berlin Heidelberg

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Goldberg, A.V., Karzanov, A.V. (1995). Maximum skew-symmetric flows. In: Spirakis, P. (eds) Algorithms — ESA '95. ESA 1995. Lecture Notes in Computer Science, vol 979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60313-1_141

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  • DOI: https://doi.org/10.1007/3-540-60313-1_141

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60313-9

  • Online ISBN: 978-3-540-44913-3

  • eBook Packages: Springer Book Archive

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