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Convex optimization :algorithms and ...

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Bubeck, Sébastien,

Convex optimization :algorithms and complexity /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Convex optimization :Sébastien Bubeck, Theory Group, Microsoft Research.
Reminder of title:	algorithms and complexity /
Author:	Bubeck, Sébastien,
Published:	[2015]
Description:	x, 131 pages :illustrations ;22 cm.
Subject:	Convex programming.
ISBN:	1601988605

Convex optimization :algorithms and complexity /
Bubeck, Sébastien,

Convex optimization :algorithms and complexity /Sébastien Bubeck, Theory Group, Microsoft Research. - [2015] - x, 131 pages :illustrations ;22 cm. - Foundations and Trends in Machine Learning ;Volume 8, Issue 3-4, 2015.. - Foundations and trends in machine learning ;vol. 8, no. 3-4..

Includes bibliographic references (pages 125-131)

Introduction -- Convex optimization in finite dimension -- Dimension-free convex optimization -- Almost dimension-free convex optimization in non-Euclidean spaces -- Beyond the black-box model -- Convex optimization and randomness.

ISBN: 1601988605Subjects--Topical Terms:

185825
Convex programming.

LC Class. No.: T57.815 / B917 2015

Convex optimization :algorithms and complexity /
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012 5 0 $a nam a2200289 a 4500
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020 $a 1601988605 $q (paperback)
020 $a 9781601988607 $q (paperback) : $c $95.00
035 $a (OCoLC)ocn930664666
035 $a vtls001716947
040 $a YDXCP $b eng $e rda $c YDXCP $d BTCTA $d CIT $d BDX $d OCLCF $d TKU
042 $a nbic
050 # 4 $a T57.815 $b B917 2015
100 1 $a Bubeck, Sébastien, $e author. $3 827869
245 1 0 $a Convex optimization : $b algorithms and complexity / $c Sébastien Bubeck, Theory Group, Microsoft Research.
260 # $c [2015]
264 1 $a Hanover, MA : $b Now Publishers Inc., $c [2015]
264 4 $c ©2015.
300 $a x, 131 pages : $b illustrations ; $c 22 cm.
336 $a text $b txt $2 rdacontent.
337 $a unmediated $b n $2 rdamedia.
338 $a volume $b nc $2 rdacarrier.
490 1 $a Foundations and Trends in Machine Learning ; $v Volume 8, Issue 3-4, 2015.
504 $a Includes bibliographic references (pages 125-131)
505 0 # $a Introduction -- Convex optimization in finite dimension -- Dimension-free convex optimization -- Almost dimension-free convex optimization in non-Euclidean spaces -- Beyond the black-box model -- Convex optimization and randomness.
650 # 0 $a Convex programming. $3 185825
830 0 $a Foundations and trends in machine learning ; $v vol. 8, no. 3-4. $3 827870

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T57.815 B917 2015

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