Téléchargez le livre : Open Problems in Optimization and Data Analysis

Open Problems in Optimization and Data Analysis

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Éditeur :

Springer


Collection :

Springer Optimization and Its Applications

Paru le : 2018-12-04

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Description

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. 
Pages
330 pages
Collection
Springer Optimization and Its Applications
Parution
2018-12-04
Marque
Springer
EAN papier
9783319991412
EAN PDF
9783319991429
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
4577 Ko
Prix
137,14 €
EAN EPUB
9783319991429
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
33
Taille du fichier
14264 Ko
Prix
137,14 €

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