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Distributed Algorithms by Lynch Nancy (16 results)
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Distributed Algorithms
Published by Elsevier Science & Technology, 1996
ISBN 10: 1558603484 ISBN 13: 9781558603486
Language: English
First Edition
Condition: Good. 1st. Used book that is in clean, average condition without any missing pages.
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Hardcover. Condition: Fine. 1st Edition. This is a fine, unmarked, hardcover first edition, second printing copy, no DJ, brown spine, 872 pages. MEDIA SHIPPING, extra for airmail or international shipping.
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Distributed Algorithms
Published by Elsevier Science & Technology, 1996
ISBN 10: 1558603484 ISBN 13: 9781558603486
Language: English
First Edition
Condition: Good. 1st. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Distributed Algorithms
Published by Elsevier Science & Technology, 1996
ISBN 10: 1558603484 ISBN 13: 9781558603486
Language: English
First Edition
Condition: Very Good. 1st. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Hardcover. Condition: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority!
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Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Seller rating 5 out of 5 stars
Condition: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.
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Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
Published by Morgan Kaufmann 1996-04-16, 1996
ISBN 10: 1558603484 ISBN 13: 9781558603486
Language: English
Hardcover. Condition: New.
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Condition: New. pp. 904.
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Hardcover. Condition: Brand New. 872 pages. 10.00x8.25x2.00 inches. In Stock.
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Condition: New. pp. 904 1st Edition.
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Condition: New. pp. 904.
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Condition: Very good.
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Condition: new. Questo è un articolo print on demand.
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Distributed Algorithms
Published by Elsevier Science Mär 1996, 1996
ISBN 10: 1558603484 ISBN 13: 9781558603486
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers.Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others.The material is organized according to the system model-first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference.The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms-to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures. 912 pp. Englisch.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers. Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model-first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference. The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms-to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.
