Stochastic Optimization

Stochastic Optimization
Author: Johannes Schneider
Publisher: Springer Science & Business Media
Total Pages: 551
Release: 2007-08-06
Genre: Computers
ISBN: 3540345604

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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 deals with benchmark problems in depth, by applying a selection of optimization procedures. Written primarily with scientists and students from the physical and engineering sciences in mind, this book addresses a larger community of all who wish to learn about stochastic optimization techniques and how to use them.


Stochastic Optimization
Language: en
Pages: 551
Authors: Johannes Schneider
Categories: Computers
Type: BOOK - Published: 2007-08-06 - Publisher: Springer Science & Business Media

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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
First-order and Stochastic Optimization Methods for Machine Learning
Language: en
Pages: 591
Authors: Guanghui Lan
Categories: Mathematics
Type: BOOK - Published: 2020-05-15 - Publisher: Springer Nature

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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.
Stochastic Optimization Methods
Language: en
Pages: 389
Authors: Kurt Marti
Categories: Business & Economics
Type: BOOK - Published: 2015-02-21 - Publisher: Springer

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This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal
Stochastic Optimization
Language: en
Pages: 438
Authors: Stanislav Uryasev
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

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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
Convex and Stochastic Optimization
Language: en
Pages: 311
Authors: J. Frédéric Bonnans
Categories: Mathematics
Type: BOOK - Published: 2019-04-24 - Publisher: Springer

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This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic pro