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Open Problems in Optimization and Data Analysis

Panos M Pardalos editor Athanasios Migdalas editor

Format:Hardback

Publisher:Springer International Publishing AG

Published:17th Dec '18

Currently unavailable, and unfortunately no date known when it will be back

Open Problems in Optimization and Data Analysis cover

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. 

ISBN: 9783319991412

Dimensions: unknown

Weight: 694g

330 pages

1st ed. 2018