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, such as flows, coverings, matchings, traveling salesman problems, and graphs. For added clarity, 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 rounded off by an appendix that gives a convenient summary of the problems described in the book. This book is an up-to-date reference for research workers in the area of algorithms and for graduate courses in the subject.
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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 s alesman problems, graphs), but in order to make the book reasonably self-contained, the authors provide an introductory chapter containing the basic definitions and results. This will be a up-to-date reference for research workers in the area of algorithms, but it can also be used for graduate courses in the subject.
"This monograph reads as smoothly as a single-author work. It can serve as an excellent reference for those interested in algorithmic and computational complexity results in parallel approximability. It can also serve as an excellent introduction to the field for theoretical researchers." Computing Reviews
"This is an excellent monograph that surveys one of the key parts of recent algorithm and complexity theory. This book really corresponds to its title Paradigms of fast parallel approximability. Because of this it is much more than a survey on the recent development in this area. I strongly recommend it as a valuable source for graduate courses in the subject also." Juraj Hromkovi^Dvc, Mathematical Reviews
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Paperback. Condition: New. 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. Seller Inventory # LU-9780521117920
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Condition: New. A survey of the basic techniques for approximating combinatorial problems using parallel algorithms. Series: Cambridge International Series on Parallel Computation. Num Pages: 168 pages, 32 b/w illus. BIC Classification: UKG; UMB; UYFP. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 9. Weight in Grams: 280. . 2009. 1st Edition. paperback. . . . . Seller Inventory # V9780521117920
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Condition: New. A survey of the basic techniques for approximating combinatorial problems using parallel algorithms. Series: Cambridge International Series on Parallel Computation. Num Pages: 168 pages, 32 b/w illus. BIC Classification: UKG; UMB; UYFP. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 9. Weight in Grams: 280. . 2009. 1st Edition. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780521117920
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Paperback. Condition: new. Paperback. 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. This 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. This is an up-to-date reference for graduate students and researchers in algorithmics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780521117920
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Paperback. Condition: New. 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. Seller Inventory # LU-9780521117920
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Taschenbuch. Condition: Neu. Paradigms for Fast Parallel Approximability | Josep Diaz (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2009 | Cambridge University Press | EAN 9780521117920 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 101629829
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