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Pages: 311

Convex and Stochastic Optimization

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
First-order and Stochastic Optimization Methods for Machine Learning
Language: en
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First-order and Stochastic Optimization Methods for Machine Learning

Authors: Guanghui Lan
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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.
Convex Optimization
Language: en
Pages: 142

Convex Optimization

Authors: Sébastien Bubeck
Categories: Convex domains
Type: BOOK - Published: 2015-11-12 - Publisher: Foundations and Trends (R) in Machine Learning

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This monograph presents the main complexity theorems in convex optimization and their corresponding algorithms. It begins with the fundamental theory of black-b
Stochastic Optimization Methods
Language: en
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Stochastic Optimization Methods

Authors: Kurt Marti
Categories: Business & Economics
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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
Convex Optimization
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Convex Optimization

Authors: Stephen P. Boyd
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Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how

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