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Springer Optimization and Its Applications

Open Problems in Optimization and Data Analysis

Editors: Pardalos, Panos M., Migdalas, Athanasios (Eds.)

  • 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
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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-319-99142-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-319-99141-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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. 

Table of contents (17 chapters)

  • A Note on Open Problems and Challenges in Optimization Theory and Algorithms

    Migdalas, A. (et al.)

    Pages 1-8

  • Social Influence-Based Optimization Problems

    Li, Chao (et al.)

    Pages 9-22

  • New Statistical Robust Estimators, Open Problems

    Zioutas, George (et al.)

    Pages 23-47

  • Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges

    Karakitsiou, A. (et al.)

    Pages 49-60

  • Supply and Demand Selection Problems in Supply Chain Planning

    Mohammadivojdan, Roshanak (et al.)

    Pages 61-82

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-3-319-99142-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.99
price for USA in USD
  • ISBN 978-3-319-99141-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Open Problems in Optimization and Data Analysis
Editors
  • Panos M. Pardalos
  • Athanasios Migdalas
Series Title
Springer Optimization and Its Applications
Series Volume
141
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-319-99142-9
DOI
10.1007/978-3-319-99142-9
Hardcover ISBN
978-3-319-99141-2
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XIX, 330
Number of Illustrations
19 b/w illustrations, 24 illustrations in colour
Topics