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000755555 020__ $$a9783319302652$$q(electronic book)
000755555 020__ $$a3319302655$$q(electronic book)
000755555 020__ $$z9783319302638
000755555 035__ $$aSP(OCoLC)ocn950884492
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000755555 050_4 $$aQA76.9.B45
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000755555 24500 $$aBig data optimization$$h[electronic resource] :$$brecent developments and challenges /$$cAli Emrouznejad, editor.
000755555 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000755555 300__ $$a1 online resource (xv, 487 pages) :$$billustrations.
000755555 336__ $$atext$$btxt$$2rdacontent
000755555 337__ $$acomputer$$bc$$2rdamedia
000755555 338__ $$aonline resource$$bcr$$2rdacarrier
000755555 4901_ $$aStudies in big data ;$$vvolume 18
000755555 500__ $$aIncludes index.
000755555 504__ $$aIncludes bibliographical references and index.
000755555 506__ $$aAccess limited to authorized users.
000755555 520__ $$aThe main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book will be useful for the researchers aiming to analyses large scale data. Several optimization algorithms for big data including convergent parallel algorithms, limited memory bundle algorithm, diagonal bundle method, convergent parallel algorithms, network analytics, and many more have been explored in this book.
000755555 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 7, 2016).
000755555 650_0 $$aBig data.
000755555 7001_ $$aEmrouznejad, Ali.,$$eeditor.
000755555 77608 $$iPrint version:$$tBig data optimization : recent developments and challenges.$$dCham, [Switzerland] : Springer, c2016$$z9783319302638$$w(DLC)  2016933480
000755555 830_0 $$aStudies in big data ;$$vv. 18.
000755555 852__ $$bebk
000755555 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-30265-2$$zOnline Access$$91397441.1
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000755555 980__ $$aEBOOK
000755555 980__ $$aBIB
000755555 982__ $$aEbook
000755555 983__ $$aOnline
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