Editors:
- Overviews open problems in optimization, computational geometry, algorithms, logistics, data science, and statistics
- Presents theoretical and practical techniques
- Broadens understanding and significance of challenging and open problems
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 141)
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Table of contents (17 chapters)
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Front Matter
About this book
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.
Editors and Affiliations
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Industrial and Systems, Engineering Department, University of Florida, Center For Applied Optimization, Gainesville, USA
Panos M. Pardalos
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Industrial Logistics, ETS Institute, Lulea University of Technology, Norrbotten, Sweden
Athanasios Migdalas
Bibliographic Information
Book Title: Open Problems in Optimization and Data Analysis
Editors: Panos M. Pardalos, Athanasios Migdalas
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-319-99142-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-99141-2Published: 17 December 2018
eBook ISBN: 978-3-319-99142-9Published: 04 December 2018
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XIX, 330
Number of Illustrations: 19 b/w illustrations, 24 illustrations in colour
Topics: Optimization, Operations Management, Software Engineering/Programming and Operating Systems, Computational Mathematics and Numerical Analysis