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An introduction to online computatio...
~
Komm, Dennis.
An introduction to online computation = determinism, randomization, advice /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An introduction to online computation/ by Dennis Komm.
Reminder of title:
determinism, randomization, advice /
Author:
Komm, Dennis.
Published:
Cham :Springer International Publishing : : 2016.,
Description:
xv, 349 p. :ill., digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Online data processing. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-42749-2
ISBN:
9783319427492
An introduction to online computation = determinism, randomization, advice /
Komm, Dennis.
An introduction to online computation
determinism, randomization, advice /[electronic resource] :by Dennis Komm. - Cham :Springer International Publishing :2016. - xv, 349 p. :ill., digital ;24 cm. - Texts in theoretical computer science,1862-4499. - Texts in theoretical computer science..
Introduction -- Randomization -- Advice Complexity -- The k-Server Problem -- Job Shop Scheduling -- The Knapsack Problem -- The Bit Guessing Problem -- Problems on Graphs.
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.
ISBN: 9783319427492
Standard No.: 10.1007/978-3-319-42749-2doiSubjects--Topical Terms:
680578
Online data processing.
LC Class. No.: QA76.55
Dewey Class. No.: 004.33
An introduction to online computation = determinism, randomization, advice /
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Introduction -- Randomization -- Advice Complexity -- The k-Server Problem -- Job Shop Scheduling -- The Knapsack Problem -- The Bit Guessing Problem -- Problems on Graphs.
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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, 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.
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