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Lectures on Stochastic Programming - Alexander Shapiro, Darinka Dentcheva, Andrzej Ruszczski

Lectures on Stochastic Programming

Modeling and Theory
Buch | Hardcover
527 Seiten
2021 | 3rd Revised edition
Society for Industrial & Applied Mathematics,U.S. (Verlag)
978-1-61197-658-8 (ISBN)
CHF 179,80 inkl. MwSt
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Covers optimization problems involving uncertain parameters for which stochastic models are available. These problems occur in almost all areas of science and engineering.
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.
Erscheinungsdatum
Reihe/Serie MOS-SIAM Series on Optimization
Verlagsort New York
Sprache englisch
Gewicht 1290 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-61197-658-8 / 1611976588
ISBN-13 978-1-61197-658-8 / 9781611976588
Zustand Neuware
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