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Scheduling Algorithms

Scheduling Algorithms

Scheduling Algorithms
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Scheduling Algorithms Hardback - 2007

by Brucker, Peter

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Description

Springer Berlin / Heidelberg. Used - Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Details

  • Title Scheduling Algorithms
  • Author Brucker, Peter
  • Binding Hardback
  • Edition 5th
  • Condition Used - Very good
  • Pages 371
  • Volumes 1
  • Language ENG
  • Publisher Springer Berlin / Heidelberg
  • Publication date 2007-02-06
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # 54520995-6
  • ISBN 9783540695158 / 354069515X
  • Weight 1.5 lbs (0.68 kg)
  • Dimensions 9.2 x 6.3 x 1 in (23.37 x 16.00 x 2.54 cm)
  • Category Business / Economics / Finance
  • Library of Congress Catalogue Number 2006940721
  • Dewey Decimal Code 658.530
  • Quantity available 1

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From the publisher

Besides scheduling problems for single and parallel machines and shop scheduling problems, this book covers advanced models involving due-dates, sequence dependent changeover times and batching. Discussion also extends to multiprocessor task scheduling and problems with multi-purpose machines. Among the methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. The text goes on to summarize complexity results for different classes of deterministic scheduling problems.

From the rear cover

Besides scheduling problems for single and parallel machines and shop scheduling problems the book covers advanced models involving due-dates, sequence dependent changeover times and batching. Also multiprocessor task scheduling and problems with multi-purpose machines are discussed. The methods used to solve these problems are linear programming, dynamic programming, branch-and-bound algorithms, and local search heuristics. Complexity results for different classes of deterministic scheduling problems are summerized.

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