Stochastic Optimization

Algorithms and Applications

By: S. Uryasev (Editor), Panos M. Pardalos (Editor), Stanislav Uryasev (Editor)

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Paperback | 1 December 2010

At a Glance

Paperback
454 Pages

Dimensions(cm)
23.39 x 15.6 x 2.34

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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.

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