Optimization and Its Applications in Control and Data Sciences : In Honor of Boris T. Polyak’s 80th Birthday / edited by Boris Goldengorin
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | Cham : Springer International Publishing : Imprint: Springer |
| 出版年 | 2016 |
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| 書誌ID | OB01018534 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | 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). . License restrictions may limit access 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 |
| 著者標目 | Goldengorin, Boris SpringerLink (Online service) |
| 統一書名標目 | Springer Optimization and Its Applications, |
| 件 名 | LCSH:Mathematics LCSH:Data structures (Computer science) LCSH:Dynamics LCSH:Ergodic theory LCSH:System theory LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Computer mathematics LCSH:Algorithms LCSH:Mathematical optimization FREE:Mathematics FREE:Optimization FREE:Data Structures FREE:Systems Theory, Control FREE:Dynamical Systems and Ergodic Theory FREE:Algorithms FREE:Mathematical Applications in Computer Science |
| 分 類 | LCC:QA402.5-402.6 DC23:519.6 |
| 巻冊次 | ISBN:9783319420561 RefWorks出力（各巻） print ; ISBN:9783319420547 RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
| 所蔵情報へのリンク | Optimization and its applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday / Boris Goldengorin, editor ; : [hardback] |
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