open problems optimization data (10 Ergebnisse)

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Zustand: New. pp. XIX, 330 43 illus., 24 illus. in color. 1st ed. 2018 edition NO-PA16APR2015-KAP.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Zustand: Brand New. 349 pages. 9.25x6.10x1.10 inches. In Stock.

Zustand: new. Questo è un articolo print on demand.

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 352 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Overviews open problems in optimization, computational geometry, algorithms, logistics, data science, and statisticsPresents theoretical and practical techniquesBroadens understanding and significance of challenging and open prob.

Zustand: New. Print on Demand pp. XIX, 330 43 illus., 24 illus. in color.

Zustand: New. PRINT ON DEMAND pp. XIX, 330 43 illus., 24 illus. in color.

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 352 pp. Englisch.