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This book addresses stochastic optimization procedures in a broad manner. The first part offers an overview of relevant optimization philosophies; the second de
Stochastic Optimization
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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
First-order and Stochastic Optimization Methods for Machine Learning
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This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
Multistage Stochastic Optimization
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Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and transportation, among other
Introduction to Stochastic Programming
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This rapidly developing field encompasses many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wid