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Titlebook: Optimization and Its Applications in Control and Data Sciences; In Honor of Boris T. Boris Goldengorin Book 2016 Springer International Pub

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发表于 2025-3-21 17:18:00 | 显示全部楼层 |阅读模式
书目名称Optimization and Its Applications in Control and Data Sciences
副标题In Honor of Boris T.
编辑Boris Goldengorin
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概述Presents open problems in optimization, game theory and control theory.Concentrates on recent research in modern optimization.Focuses on techniques for solving complex optimization problems
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Optimization and Its Applications in Control and Data Sciences; In Honor of Boris T. Boris Goldengorin Book 2016 Springer International Pub
描述.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
出版日期Book 2016
关键词Data analysis; Dynamical Systems; Linear programming; Markovian Jumps; Nonconvex programming; Nonlinear p
版次1
doihttps://doi.org/10.1007/978-3-319-42056-1
isbn_softcover978-3-319-82490-1
isbn_ebook978-3-319-42056-1Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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A New Adaptive Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization, minimizing the quadratic approximation of objective function at the current point. Using a special approximation of the inverse Hessian of the objective function, which depends by a positive parameter, we get the search direction which satisfies both the sufficient descent condition and the Dai-Lia
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On Methods of Terminal Control with Boundary-Value Problems: Lagrange Approach,ional problems define implicitly initial and terminal conditions at the ends of time interval at which the controlled dynamics develops. The model describes a real situation when an object needs to be transferred from one state to another. Based on the Lagrange formalism, the model is considered as
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Optimization of Portfolio Compositions for Small and Medium Price-Taking Traders,medium price-taking traders undergo in forming and managing their portfolios of financial instruments traded in a stock exchange. Two mathematical models underlying these approaches are considered. If the trader can treat price changes for each financial instrument of her interest as those of a rand
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Indirect Maximum Likelihood Estimation,e second-stage samples are known and depend on the first-stage sample. The setup is similar to that in parametric empirical Bayes models, and arises naturally in numerous applications. However, problems arise when the number of second-level observations is not the same for all first-stage observatio
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