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Díaz / Serna / Spirakis

Paradigms for Fast Parallel Approximability

Medium: Buch
ISBN: 978-0-521-11792-0
Verlag: Cambridge University Press
Erscheinungstermin: 14.04.2009
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9780521117920
  • Medium: Buch
  • ISBN: 978-0-521-11792-0
  • Verlag: Cambridge University Press
  • Erscheinungstermin: 14.04.2009
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2009
  • Serie: Cambridge International Series on Parallel Computation
  • Produktform: Kartoniert, Paperback
  • Gewicht: 302 g
  • Seiten: 168
  • Format (B x H x T): 170 x 244 x 9 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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; Bibliography; Index.