Produkt
KlappentextComputational 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.
Zusammenfassung
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
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
Details
ISBN/GTIN978-3-319-99141-2
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2018
Erscheinungsdatum17.12.2018
Auflage1st ed. 2018
Seiten330 Seiten
SpracheEnglisch
Gewicht668 g
IllustrationenXIX, 330 p. 43 illus., 24 illus. in color.
Artikel-Nr.45527859
Rubriken