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Optimization and Its Applications in Control and Data Sciences

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This book focuses on recent research in modern optimization and its implications in control and data analysis. This book is a collection of papers from the conference “Optimization and Its Applications in Control and Data Science” dedicated to Professor Boris T. Polyak, which was held in Moscow, Russia on May 13-15, 2015.



This book reflects developments in theory and applications rooted by Professor Polyak’s fundamental contributions to constrained and unconstrained optimization, differentiable and nonsmooth functions, control theory and approximation. Each paper focuses on techniques for solving complex optimization problems in different application areas and recent developments in optimization theory and methods. Open problems in optimization, game theory and control theory are included in this collection which will interest engineers and researchers working with efficient algorithms and software for solving optimization problems in market and data analysis. Theoreticians in operations research, applied mathematics, algorithm design, artificial intelligence, machine learning, and software engineering will find this book useful and graduate students will find the state-of-the-art research valuable.

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Detail Information

Series Title

Springer Optimization and Its Applications

Call Number

-

Publisher

Cham, Switzerland : Springer., 2016

Collation

XVII, 507

Language

English

ISBN/ISSN

978-3-319-42054-7

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Data Science
Algorithms
Control
Optimization
Systems Theory
Dynamical Systems
Mathematical Applications in Computer Science

Specific Detail Info

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Statement of Responsibility

Boris Goldengorin

Other Information

Cataloger

sara

Source

-

Validator

Taufik

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