The Resource Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday, Boris Goldengorin, editor

Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday, Boris Goldengorin, editor

Label
Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday
Title
Optimization and applications in control and data sciences
Title remainder
in honor of Boris T. Polyak's 80th birthday
Statement of responsibility
Boris Goldengorin, editor
Contributor
Editor
Honouree
Subject
Genre
Language
eng
Summary
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
Member of
Cataloging source
N$T
Dewey number
003.5
Index
no index present
LC call number
QA402.3
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Goldengorin, Boris
  • Poli︠a︡k, B. T.
Series statement
Springer optimization and its applications
Series volume
volume 115
http://library.link/vocab/subjectName
  • Science
  • Technology
  • Control theory
  • SCIENCE
  • TECHNOLOGY & ENGINEERING
  • Control theory
  • Science
  • Technology
  • Algorithms & data structures
  • Cybernetics & systems theory
  • Nonlinear science
  • Numerical analysis
  • Mathematical modelling
  • Optimization
Label
Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday, Boris Goldengorin, editor
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-42056-1
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction: Big, Small, and Optimal Steps of Boris Polyak (Boris Goldengorin) -- A Convex Optimization Approach to Modeling of Stationary Periodic Time Series (Anders Lindquist and Giorgio Picci) -- New two-phase proximal method of solving the solving the problem of equilibrium programming (Sergey I. Lyashko and Vladimir V. Semenov) -- Minimax Control of Positive Switching Systems with Markovian Jumps (Patrizio Colaneri, José Geromel, Paolo Bolzern, Grace Deaecto) -- A modified Polak-Ribière-Polyak conjugate gradient algorithm with sufficient descent and conjugacy properties for unconstrained optimization (Neculai Andrei) -- Subgradient method with the transformation of space and Polyak's step (Petro Stetsyuk) -- Invariance Conditions for Nonlinear Dynamical Systems (Y. Song, and T. Terlaky) -- Nonparametric ellipsoidal approximation of compact sets of random points (S.I., Lyashko, V.V. Semenov D.A. Klyushin, M.V. Prysyazhna, M.P. Shlykov) -- Algorithmic Principle of the Least Excessive Revenue for finding market equilibria (Yurii Nesterov, Vladimir Shikhman) -- Matrix-Free Convex Optimization Modeling (Stephen Boyd and Steven Diamond) -- Stochastic Optimization and Statistical Learning in Reproducing Kernel Hilbert Spaces the Stochastic Quasi-Gradient Methods (Vladimir I. Norkin)
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319420561
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)959713484
  • (OCoLC)ocn959713484
Label
Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday, Boris Goldengorin, editor
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-42056-1
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction: Big, Small, and Optimal Steps of Boris Polyak (Boris Goldengorin) -- A Convex Optimization Approach to Modeling of Stationary Periodic Time Series (Anders Lindquist and Giorgio Picci) -- New two-phase proximal method of solving the solving the problem of equilibrium programming (Sergey I. Lyashko and Vladimir V. Semenov) -- Minimax Control of Positive Switching Systems with Markovian Jumps (Patrizio Colaneri, José Geromel, Paolo Bolzern, Grace Deaecto) -- A modified Polak-Ribière-Polyak conjugate gradient algorithm with sufficient descent and conjugacy properties for unconstrained optimization (Neculai Andrei) -- Subgradient method with the transformation of space and Polyak's step (Petro Stetsyuk) -- Invariance Conditions for Nonlinear Dynamical Systems (Y. Song, and T. Terlaky) -- Nonparametric ellipsoidal approximation of compact sets of random points (S.I., Lyashko, V.V. Semenov D.A. Klyushin, M.V. Prysyazhna, M.P. Shlykov) -- Algorithmic Principle of the Least Excessive Revenue for finding market equilibria (Yurii Nesterov, Vladimir Shikhman) -- Matrix-Free Convex Optimization Modeling (Stephen Boyd and Steven Diamond) -- Stochastic Optimization and Statistical Learning in Reproducing Kernel Hilbert Spaces the Stochastic Quasi-Gradient Methods (Vladimir I. Norkin)
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9783319420561
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Note
SpringerLink
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)959713484
  • (OCoLC)ocn959713484

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