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Open Problems in Optimization and Data Analysis (Springer Optimization and Its Applications, 141, Band 141) - Hardcover

Buch 133 von 176: Springer Optimization and Its Applications
 
9783319991412: Open Problems in Optimization and Data Analysis (Springer Optimization and Its Applications, 141, Band 141)
Hardcover
ISBN 10: 3319991418 ISBN 13: 9783319991412
Verlag: Springer, 2018

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319991418
ISBN 13 
9783319991412
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
349
Herausgeber
Pardalos Panos M., Migdalas Athanasios
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