Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Hardcover. Condition: new. Hardcover. Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. Designed as a textbook for graduate courses on algorithms, this book will also serve as a reference for researchers interested in heuristic solutions of discrete optimization problems. It presents central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketHardcover. Condition: New. Illustrated. Special order direct from the distributor.
Published by Cambridge University Press CUP, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. Designed as a textbook for graduate courses on algorithms, this book will also serve as a reference for researchers interested in heuristic solutions of discrete optimization problems. It presents central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems.
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Add to basketHardcover. Condition: Brand New. 1st edition. 500 pages. 10.10x7.10x1.30 inches. In Stock.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketHardcover. Condition: new. Hardcover. Discrete optimization problems are everywhere, from traditional operations research planning (scheduling, facility location and network design); to computer science databases; to advertising issues in viral marketing. Yet most such problems are NP-hard; unless P = NP, there are no efficient algorithms to find optimal solutions. This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Each chapter in the first section is devoted to a single algorithmic technique applied to several different problems, with more sophisticated treatment in the second section. The book also covers methods for proving that optimization problems are hard to approximate. Designed as a textbook for graduate-level algorithm courses, it will also serve as a reference for researchers interested in the heuristic solution of discrete optimization problems. Designed as a textbook for graduate courses on algorithms, this book will also serve as a reference for researchers interested in heuristic solutions of discrete optimization problems. It presents central algorithmic techniques for designing approximation algorithms, including greedy and local search algorithms, dynamic programming, linear and semidefinite programming, and randomization. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketHardcover. Condition: Brand New. 1st edition. 500 pages. 10.10x7.10x1.30 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1100.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
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Add to basketCondition: New. Print on Demand pp. xi + 504 Illus.
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Designed as a textbook for graduate courses on algorithms, this book will also serve as a reference for researchers interested in heuristic solutions of discrete optimization problems. It presents central algorithmic techniques for designing approximation a.
Published by Cambridge University Press, 2011
ISBN 10: 0521195276 ISBN 13: 9780521195270
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. xi + 504.