| 书目名称 | Open Problems in Optimization and Data Analysis | | 编辑 | Panos M. Pardalos,Athanasios Migdalas | | 视频video | | | 概述 | Overviews open problems in optimization, computational geometry, algorithms, logistics, data science, and statistics.Presents theoretical and practical techniques.Broadens understanding and significan | | 丛书名称 | Springer Optimization and Its Applications | | 图书封面 |  | | 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 | | 关键词 | Optimization Problems; Supply and Demand Selection Problems; Global Optimization; Distance Geometry; Veh | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-99142-9 | | isbn_ebook | 978-3-319-99142-9Series ISSN 1931-6828 Series E-ISSN 1931-6836 | | issn_series | 1931-6828 | | copyright | Springer Nature Switzerland AG 2018 |
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发表于 2025-3-21 18:48:30
