Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and implementation of stochastic programming algorithms; (2) sensitivity analysis of stochastic systems; (3) stochastic programming applications and other related topics.
Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering. The book is appropriate as supplementary reading in courses on optimization and financial engineering.
| ISBN: | 9780792369516 |
| Publication date: | 31st May 2001 |
| Author: | S P Uriasev, P M Pardalos |
| Publisher: | Springer an imprint of Springer US |
| Format: | Hardback |
| Pagination: | 435 pages |
| Series: | Applied Optimization |
| Genres: |
Production and industrial engineering Automatic control engineering Management decision making Mathematical modelling Maths for engineers Operational research Optimization Finance |