Overview
- Authors are two of the most prominent researchers in the field
- End-of-chapter exercises will now be added
- Brings field completely up to date, with new models, citations, and references
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 156)
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Table of contents (4 chapters)
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Bibliographic Information
Book Title: Stochastic Linear Programming
Book Subtitle: Models, Theory, and Computation
Authors: Peter Kall, János Mayer
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4419-7729-8
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Hardcover ISBN: 978-1-4419-7728-1Published: 10 November 2010
Softcover ISBN: 978-1-4614-2745-2Published: 27 December 2012
eBook ISBN: 978-1-4419-7729-8Published: 02 November 2010
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 2
Number of Pages: XX, 426
Topics: Optimization, Operations Research, Management Science, Mathematical and Computational Engineering, Probability Theory and Stochastic Processes, Operations Research/Decision Theory, Applications of Mathematics