Paradigms for Fast Parallel Approximability

di Josep Diaz (Autore)

Maria Serna (Autore)

Paul Spirakis (Autore)

Cambridge University Press, 2009

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.

• Autore: Josep Diaz, Maria Serna, Paul Spirakis
• Editore: Cambridge University Press
• Collana: Cambridge International Series on Parallel Computation
• Anno: 2009
• Rilegatura: Paperback / softback
• Pagine: 168 p.
• Dimensioni: 244 x 170 mm
• Peso: 280 gr.
• EAN: 9780521117920

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