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Titlebook: Bayesian and High-Dimensional Global Optimization; Anatoly Zhigljavsky,Antanas Žilinskas Book 2021 The Author(s) 2021 Global optimization.

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期刊全称Bayesian and High-Dimensional Global Optimization
影响因子2023Anatoly Zhigljavsky,Antanas Žilinskas
视频videohttp://file.papertrans.cn/182/181891/181891.mp4
发行地址Includes examples of the convergence in probability of random search.Examines high-dimensional global optimization problems.Discusses methodological issues in global optimization
学科分类SpringerBriefs in Optimization
图书封面Titlebook: Bayesian and High-Dimensional Global Optimization;  Anatoly Zhigljavsky,Antanas Žilinskas Book 2021 The Author(s) 2021 Global optimization.
影响因子.Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called ‘curse of dimensionality’. An examination of the three different classes of hi
Pindex Book 2021
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https://doi.org/10.1007/978-3-030-22660-2lgorithms of GRS in continuous problems, mostly keeping in mind the use of such algorithms in reasonably large dimensions. These notes are based on the 40-year experience of the author of this chapter and reflect his subjective opinions, some of which other specialists in the field do not necessaril
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Anatoly Zhigljavsky,Antanas ŽilinskasIncludes examples of the convergence in probability of random search.Examines high-dimensional global optimization problems.Discusses methodological issues in global optimization
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SpringerBriefs in Optimizationhttp://image.papertrans.cn/b/image/181891.jpg
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https://doi.org/10.1007/978-3-030-64712-4Global optimization; High-dimensional optimization; Global random search; Bayesian global optimization;
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Bayesian and High-Dimensional Global Optimization978-3-030-64712-4Series ISSN 2190-8354 Series E-ISSN 2191-575X
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