An Introduction to Online Computation / Texts in Theoretical Computer Science. An EATCS Series (PDF)

Name: An Introduction to Online Computation / Texts in Theoretical Computer Science. An EATCS Series
Brand: Springer-Verlag GmbH
SKU: 103692364
Price: 71.49 EUR
Availability: OnlineOnly

Determinism, Randomization, Advice (Sprache: Englisch)

Autor: Dennis Komm

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An Introduction to Online Computation / Texts in Theoretical Computer Science. An EATCS Series, Dennis Komm

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This textbook explains online computation in different settings, with particular emphasis on randomization and advice complexity. These settings are analyzed for various online problems such as the paging problem, the k-server problem, job shop scheduling,...

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This book is appropriate for undergraduate and graduate students of computer science, assuming a basic knowledge in algorithmics and discrete mathematics. Also researchers will find this a valuable reference for the recent field of advice complexity.

Autoren-Porträt von Dennis Komm

Dr. Dennis Komm is a lecturer in the Chair of Information Technology and Education at ETH Zürich. His research interests include approximation algorithms for hard optimization problems, re-optimization of optimization problems, and advice complexity in different setups and environments.

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Bibliographische Angaben

Autor: Dennis Komm
2016, 1st ed. 2016, 349 Seiten, Englisch
Verlag: Springer-Verlag GmbH
ISBN-10: 3319427490
ISBN-13: 9783319427492
Erscheinungsdatum: 31.10.2016

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: PDF
Größe: 3.81 MB
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Englisch

Pressezitat

“This book is about online algorithms for optimization problems. … The book can be used as a textbook on the undergraduate level. … The book can also be used for self-study and as a reference. Its strength in this regard is enhanced by the historical notes at the end of each chapter and a comprehensive bibliography.” (Bogdan S. Chlebus, Mathematical Reviews, March, 2018)

“This text is an important contribution to the field of online algorithms. … Without a doubt, this text is a must-read for anyone seriously pursuing the analysis of algorithms, particularly online versions of those algorithms.” (Michael Goldberg and R. Goldberg, Computing Reviews, October, 2017)

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