Stochastic linear programming: models, theory, and computation
Kall, Peter
Mayer, János
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 chanceconstraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and AssetLiability 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 suitableas a text for advanced courses in stochastic optimization, and as a referenceto 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. Iheartily 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) Authors are twoof 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 INDICE: Chapter 1. Basics.- Chapter 2. Single-stage SLP models.- Chapter 3. SLP models with recourse.- Chapter 4. Algorithms.
- ISBN: 978-1-4419-7728-1
- Editorial: Springer
- Encuadernacion: Rústica
- Páginas: 426
- Fecha Publicación: 29/10/2010
- Nº Volúmenes: 1
- Idioma: Inglés