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Titlebook: Open Problems in Optimization and Data Analysis; Panos M. Pardalos,Athanasios Migdalas Book 2018 Springer Nature Switzerland AG 2018 Optim

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發(fā)表于 2025-3-21 18:48:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Open Problems in Optimization and Data Analysis
編輯Panos M. Pardalos,Athanasios Migdalas
視頻videohttp://file.papertrans.cn/702/701825/701825.mp4
概述Overviews open problems in optimization, computational geometry, algorithms, logistics, data science, and statistics.Presents theoretical and practical techniques.Broadens understanding and significan
叢書名稱Springer Optimization and Its Applications
圖書封面Titlebook: Open Problems in Optimization and Data Analysis;  Panos M. Pardalos,Athanasios Migdalas Book 2018 Springer Nature Switzerland AG 2018 Optim
描述.Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain modeling, and data analysis are examined in this book. ?Each contribution provides the fundamentals ?needed to fully comprehend the impact of individual problems. Current theoretical, algorithmic, and practical methods used to circumvent each problem are provided to stimulate a new effort towards innovative and efficient solutions. Aimed towards graduate students and researchers in mathematics, optimization, operations research, quantitative logistics, data analysis, and statistics, this book provides a broad comprehensive approach to understanding the significance of specific challenging or open problems within each discipline.. .The contributions contained in this book are based on lectures focused on “Challenges and Open Problems in Optimization and Data Science” presented at the Deucalion Summer Institute for Advanced Studies in Optimization, Mathematics, and Data Science in August 2016.?.
出版日期Book 2018
關(guān)鍵詞Optimization Problems; Supply and Demand Selection Problems; Global Optimization; Distance Geometry; Veh
版次1
doihttps://doi.org/10.1007/978-3-319-99142-9
isbn_ebook978-3-319-99142-9Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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發(fā)表于 2025-3-21 22:07:08 | 只看該作者
A. Karakitsiou,A. Migdalas,P. M. Pardalosthe-art overview of methods, tools and standards they need for their activities. Researchers as well as advanced students in computer science will use it as an introduction to this new field with a hopefully st978-3-642-06236-0978-3-540-46332-0
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D. Munkhdalai,R. Enkhbatthe-art overview of methods, tools and standards they need for their activities. Researchers as well as advanced students in computer science will use it as an introduction to this new field with a hopefully st978-3-642-06236-0978-3-540-46332-0
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Thiago Pereira,Daniel Aloise,Jack Brimberg,Nenad Mladenovi?the-art overview of methods, tools and standards they need for their activities. Researchers as well as advanced students in computer science will use it as an introduction to this new field with a hopefully st978-3-642-06236-0978-3-540-46332-0
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發(fā)表于 2025-3-22 18:23:53 | 只看該作者
Dimitris Souravlias,Konstantinos E. Parsopoulosthe-art overview of methods, tools and standards they need for their activities. Researchers as well as advanced students in computer science will use it as an introduction to this new field with a hopefully st978-3-642-06236-0978-3-540-46332-0
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On the Design of Metaheuristics-Based Algorithm Portfolios,ection of constituent algorithms, resource allocation schemes, interaction among the algorithms, and parallelism issues. Recent research trends relevant to these issues are presented, offering motivation for further elaboration.
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發(fā)表于 2025-3-23 03:00:24 | 只看該作者
Integral Simplex Methods for the Set Partitioning Problem: Globalisation and Anti-Cycling,l optimality can be guaranteed only by resorting to an enumeration principle. Secondly, set partitioning problems are typically massively degenerate and a big hurdle to overcome is therefore to establish anti-cycling rules for the pivoting options available. The purpose of this chapter is to lay a f
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發(fā)表于 2025-3-23 05:38:50 | 只看該作者
An Example of Nondecomposition in Data Fitting by Piecewise Monotonic Divided Differences of Order ?2, which gives a piecewise convex/concave fit to the data, reduce to separating the data into .?+?1 disjoint sets of adjacent data and solving a structured quadratic programming problem for each set. Separation allows the development of some dynamic programming procedures that solve the particular
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