From the reviews:
It is the first book that systematically tries to answer the questions about modeling under uncertainty . The book is written in a very readable style . An experienced researcher who is already familiar with optimization under uncertainty will benefit from reading this book . (Laura Galli, Interfaces, Vol. 43 (5), September-October, 2013)
The book is intended as a textbook for graduate students and researchers interested in decision making under uncertainty. It is expected that the book will also be suitable for teaching some operations research courses for undergraduates. this textbook can indeed be very useful for mathematics students as a methodological guide to the applications of stochastic programming methods. The structure of the textbook is well adapted to teaching purposes. (A. H. Zilinskas, Mathematical Reviews, January, 2013)
Uncertainty in Optimization.-Modeling Feasibility and Dynamics.-Modeling the Objective Function.- Scenario tree generation, With Michal Kaut.-Service network design, With Arnt-Gunnar Lium and Teodor Gabriel Crainic.- A multi-dimensional newsboy problem with substitution, With Hajnalka Vaagen.- Stochastic Discount Factors.- Long Lead Time Production, With Aliza Heching.- References.- Index