The Locator -- [(subject = "Mathematical optimization")]

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02373aam a22003498i 4500
001 39769BEEB0D511E8923D894D97128E48
003 SILO
005 20180905010705
008 180514t20182018si a     b    001 0 eng c
010    $a 2018014044
020    $a 9813237643
020    $a 9789813237643
035    $a (OCoLC)1022710011
040    $a LBSOR/DLC $b eng $e rda $c DLC $d SINLB $d OCLCF $d SILO
042    $a pcc
050 00 $a QA402.5 $b .Y66 2018
082 00 $a 519.6 $2 23
100 1  $a Yong, J. $q (Jiongmin), $d 1958- $e author.
245 10 $a Optimization theory : $b a concise introduction / $c Jiongmin Yon.
264  1 $a Singapore ; $b World Scientific, $c [2018]
300    $a x, 223 pages : $b illustrations ; $c 24 cm
504    $a Includes bibliographical references (page 217) and index.
505 0  $a Mathematical preparations -- Optimization problems and existence of optimal solutions -- Necessary and sufficient conditions of optimal solutions -- Problems with convexity and quasi-convexity conditions -- Linear programming.
520    $a "Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, subject to some equality and/or inequality constraints. This book introduces some classical and basic results of optimization theory, including nonlinear programming with Lagrange multiplier method, the Karush-Kuhn-Tucker method, Fritz John's method, problems with convex or quasi-convex constraints, and linear programming with geometric method and simplex method. A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization"-- $c Provided by publisher.
650  0 $a Mathematical optimization.
650  0 $a Mathematical analysis.
650  7 $a Mathematical analysis. $2 fast $0 (OCoLC)fst01012068
650  7 $a Mathematical optimization. $2 fast $0 (OCoLC)fst01012099
941    $a 1
952    $l USUX851 $d 20210304012003.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=39769BEEB0D511E8923D894D97128E48
994    $a 92 $b IWA

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