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An introduction to online computatio...

Komm, Dennis.

An introduction to online computationdeterminism, randomization, advice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to online computationby 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$q(electronic bk.)

An introduction to online computationdeterminism, randomization, advice /
Komm, Dennis.

An introduction to online computationdeterminism, 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$q(electronic bk.)

Standard No.: 10.1007/978-3-319-42749-2doiSubjects--Topical Terms:

761233
Online data processing.

LC Class. No.: QA76.55

Dewey Class. No.: 004.33

An introduction to online computationdeterminism, randomization, advice /
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505 0 $a Introduction -- Randomization -- Advice Complexity -- The k-Server Problem -- Job Shop Scheduling -- The Knapsack Problem -- The Bit Guessing Problem -- Problems on Graphs.
520 $a 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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