Lectures on Stochastic Programming : Modeling and Theory Hardback
by Alexander Shapiro, Darinka Dentcheva, Andrzej Ruszczski
Part of the MOS-SIAM Series on Optimization series
Hardback
Description
Lectures on Stochastic Programming: Modeling and Theory, Third Edition covers optimization problems involving uncertain parameters for which stochastic models are available.
These problems occur in almost all areas of science and engineering. This substantial revision of the previous edition presents a modern theory of stochastic programming, including expanded coverage of sample complexity, risk measures, and distributionally robust optimization:Chapter 6 is updated and the interchangeability principle for risk measures is discussed in detail. Two new chapters, 'Distributionally Robust Stochastic Programming' (DRSP) and 'Computational Methods' provide readers with a solid understanding of emerging topics. Chapter 8 presents new material on formulation and numerical approaches to solving periodical multistage stochastic programs. This book is written for researchers and graduate students working on theory and applications of optimization.
Information
-
Out of stock
- Format:Hardback
- Pages:527 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/12/2021
- Category:
- ISBN:9781611976588
Information
-
Out of stock
- Format:Hardback
- Pages:527 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:30/12/2021
- Category:
- ISBN:9781611976588
