Overview
- This book is meanwhile a standard text for its subject
- Includes supplementary material: sn.pub/extras
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Similar content being viewed by others
Keywords
Table of contents (11 chapters)
Reviews
From the reviews of the fourth edition:
"This is a book about scheduling algorithms. … The book contains eleven chapters. … Most of the chapters contain the summarized complexity results. In this edition the complexity columns have been updated. The book is completed by the bibliography which also has been updated and now contains 198 references. The book is well organized. It will be useful for specialists in scheduling theory and in combinatorial optimization." (I.N. Lushchakova, Zentralblatt MATH, Vol. 1060, 2005)
From the reviews of the fifth edition:
"One of the competitive books on the theory of machine scheduling in the market, this book, now in its fifth edition, was first published in 1995. … This book is theoretically oriented with little treatment of practical issues. It is suitable for researchers and graduate students in mathematics, computer science, operations research, management science, and industrial engineering. … To summarize, this is an excellent theoretically oriented reference book written by an expert on the classical results of deterministic machine scheduling." (Donglei Du, SIAM Review, Vol. 50 (1), 2008)
Authors and Affiliations
Bibliographic Information
Book Title: Scheduling Algorithms
Authors: Peter Brucker
DOI: https://doi.org/10.1007/978-3-540-69516-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-69515-8Published: 06 February 2007
Softcover ISBN: 978-3-642-08907-7Published: 15 October 2010
eBook ISBN: 978-3-540-69516-5Published: 18 July 2007
Edition Number: 5
Number of Pages: XII, 371
Number of Illustrations: 77 b/w illustrations
Topics: Operations Research/Decision Theory, Operations Research, Management Science, Operations Management