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An Introduction to Online Computation
Determinism, Randomization, Advice
Taschenbuch von Dennis Komm
Sprache: Englisch

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Beschreibung
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, the knapsack problem, the bit guessing problem, and problems on graphs.
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.
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, the knapsack problem, the bit guessing problem, and problems on graphs.
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.
Über den Autor

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.

Zusammenfassung

Particular emphasis on the paging problem and advice complexity

Appropriate for undergraduate and graduate students of computer science

Key feature of author's approach is focus on the information which is hidden in a given instance

Includes supplementary material: [...]

Inhaltsverzeichnis

Introduction.- Randomization.- Advice Complexity.- The
k
-Server Problem.- Job Shop Scheduling.- The Knapsack Problem.- The Bit Guessing Problem.- Problems on Graphs.

Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 368
Reihe: Texts in Theoretical Computer Science. An EATCS Series
Inhalt: xv
349 S.
58 s/w Illustr.
349 p. 58 illus.
ISBN-13: 9783319826530
ISBN-10: 3319826530
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Komm, Dennis
Auflage: Softcover reprint of the original 1st ed. 2016
Hersteller: Springer International Publishing
Texts in Theoretical Computer Science. An EATCS Series
Maße: 235 x 155 x 20 mm
Von/Mit: Dennis Komm
Erscheinungsdatum: 28.06.2018
Gewicht: 0,557 kg
preigu-id: 114237511
Über den Autor

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.

Zusammenfassung

Particular emphasis on the paging problem and advice complexity

Appropriate for undergraduate and graduate students of computer science

Key feature of author's approach is focus on the information which is hidden in a given instance

Includes supplementary material: [...]

Inhaltsverzeichnis

Introduction.- Randomization.- Advice Complexity.- The
k
-Server Problem.- Job Shop Scheduling.- The Knapsack Problem.- The Bit Guessing Problem.- Problems on Graphs.

Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 368
Reihe: Texts in Theoretical Computer Science. An EATCS Series
Inhalt: xv
349 S.
58 s/w Illustr.
349 p. 58 illus.
ISBN-13: 9783319826530
ISBN-10: 3319826530
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Komm, Dennis
Auflage: Softcover reprint of the original 1st ed. 2016
Hersteller: Springer International Publishing
Texts in Theoretical Computer Science. An EATCS Series
Maße: 235 x 155 x 20 mm
Von/Mit: Dennis Komm
Erscheinungsdatum: 28.06.2018
Gewicht: 0,557 kg
preigu-id: 114237511
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