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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I. C. Demetriouuter scientist and librarian viewpoints...Practitioners will find in this book a state-of-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 st

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Book 2018ithin 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.?.

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Book 2018data 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 e

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1931-6828 d practical techniques.Broadens understanding and significan.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 ?nee

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Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem,that this new and simple application of VNS is comparable to the state of the art. In addition, a very significant improvement (over 30%) in solution quality is obtained for the largest problem instance investigated containing 85,900 entities.

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dictable remote changes that can affect it, the wide variety of formats concerned, and the growth in data-driven websites make the preservation of this material a challenging task, requiring specific monitoring, collecting and preserving strategies, procedures and tools...Julien Masanès, Director of