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02243aam a2200349 i 4500 001 4106DE2483F811ECA43678234CECA4DB 003 SILO 005 20220202011724 008 201123t20212021enka b 001 0 eng 010 $a 2020052071 020 $a 1108741770 020 $a 9781108741774 020 $a 1108482023 020 $a 9781108482028 035 $a (OCoLC)1223072252 040 $a DLC $b eng $e rda $c DLC $d OCLCO $d OCLCF $d UKMGB $d YDX $d YUS $d SILO 042 $a pcc 050 00 $a QA402.5 V57 2021 100 1 $a Vishnoi, Nisheeth K., $d 1976- $e author. 245 10 $a Algorithms for convex optimization / $c Nisheeth K. Vishnoi. 264 1 $a Cambridge, United Kingdom ; $b Cambridge University Press, $c 2021. 300 $a xvi, 323 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 520 $a "In the last few years, algorithms for convex optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself"-- $c Provided by publisher. 650 0 $a Mathematical optimization. 650 0 $a Convex functions. 650 0 $a Convex programming. 776 08 $i Online version: $a Vishnoi, Nisheeth K., 1976- $t Algorithms for convex optimization $b 1. $d New York : Cambridge University Press, 2021. $z 9781108699211 $w (DLC) 2020052072 941 $a 1 952 $l USUX851 $d 20220602015716.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=4106DE2483F811ECA43678234CECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search