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Paradigms for Fast Parallel Approximability

$32.00 USD

Part of Cambridge International Series on Parallel Computation

  • Date Published: April 2011
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511881886

$ 32.00 USD
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About the Authors
  • Various problems in computer science are 'hard', that is NP-complete, and so not realistically computable; thus in order to solve them they have to be approximated. This book is a survey of the basic techniques for approximating combinatorial problems using parallel algorithms. Its core is a collection of techniques that can be used to provide parallel approximations for a wide range of problems (for example, flows, coverings, matchings, travelling salesman problems, graphs), but in order to make the book reasonably self-contained, the authors provide an introductory chapter containing the basic definitions and results. A final chapter deals with problems that cannot be approximated, and the book is ended by an appendix that gives a convenient summary of the problems described in the book. This is an up-to-date reference for research workers in the area of algorithms, but it can also be used for graduate courses in the subject.

    • First book on subject
    • Can be used as advanced text or reference
    • Comprehensive and thorough
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    Reviews & endorsements

    Review of the hardback: 'Required reading for researchers working on parallel algorithms and of interest to anyone working in the area of parallel computing in general.' Brian Bramer, CVu

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    Product details

    • Date Published: April 2011
    • format: Adobe eBook Reader
    • isbn: 9780511881886
    • contains: 32 b/w illus.
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Introduction
    2. Basic concepts
    3. Extremal graph properties
    4. Rounding, interval partitioning and separation
    5. Primal-dual method
    6. Graph decomposition
    7. Further parallel approximations
    8. Non-approximability
    9. Syntactical defined phrases
    Appendix: Definition of problems

  • Authors

    Josep Díaz, Universitat Politècnica de Catalunya, Barcelona

    Maria Serna, Universitat Politècnica de Catalunya, Barcelona

    Paul Spirakis, University of Patras, Greece

    Jacobo Torán, Universität Ulm, Germany

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