Stochastic Linear Programming

Models, Theory, and Computation

  • Peter Kall
  • János Mayer

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 156)

Table of contents

  1. Front Matter
    Pages 1-18
  2. Peter Kall, János Mayer
    Pages 1-69
  3. Peter Kall, János Mayer
    Pages 71-189
  4. Peter Kall, János Mayer
    Pages 191-283
  5. Peter Kall, János Mayer
    Pages 285-382
  6. Back Matter
    Pages 398-439

About this book

Introduction

This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors’ SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: "The book presents a comprehensive study of stochastic linear optimization problems and their applications. … The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. … The authors have made an effort to collect … the most useful recent ideas and algorithms in this area. … A guide to the existing software is included as well." (Darinka Dentcheva, Mathematical Reviews, Issue 2006 c) "This is a graduate text in optimisation whose main emphasis is in stochastic programming. The book is clearly written. … This is a good book for providing mathematicians, economists and engineers with an almost complete start up information for working in the field. I heartily welcome its publication. … It is evident that this book will constitute an obligatory reference source for the specialists of the field." (Carlos Narciso Bouza Herrera, Zentralblatt MATH, Vol. 1104 (6), 2007)

Keywords

Financial Optimization Operations Research Optimization SLP SLP Models Stochastic Linear Programming

Authors and affiliations

  • Peter Kall
    • 1
  • János Mayer
    • 2
  1. 1.Professor emeritusUniversity of ZürichZürichSwitzerland
  2. 2.Institute of Operations ResearchUniversity of ZürichZürichSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-7729-8
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4419-7728-1
  • Online ISBN 978-1-4419-7729-8
  • Series Print ISSN 0884-8289
  • About this book