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portada Open Problems in Optimization and Data Analysis (Springer Optimization and its Applications)
Type
Physical Book
Publisher
Year
2018
Language
English
Pages
330
Format
Hardcover
ISBN13
9783319991412
Edition No.
2018
Categories

Open Problems in Optimization and Data Analysis (Springer Optimization and its Applications)

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Synopsis "Open Problems in Optimization and Data Analysis (Springer Optimization and its Applications) "

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. 

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