Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2016
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / B / Computational Intelligence / Decision Making / engineering / Management decision making / Operational research / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory mehr...
ISBN:	9783319302638
EAN-Code:	9783319302638
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#18 - Studies in Big Data
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	8749 gr
Seiten:	487
Illustration:	XV, 487 p. 182 illus., 160 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.