Optimization theory a concise introduction

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 s...

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Bibliographic Details
Main Author: Yong, J. (Author)
Format: Book
Language:English
Published: New Jersey World Scientific 2018
Subjects:
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Call Number :QA 402.5 .Y66 2018

MARC

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090 |a QA 402.5  |b .Y66 2018 
100 1 |a Yong, J.,  |e author. 
245 1 0 |a Optimization theory  |b a concise introduction  |c Jiongmin Yon. 
264 1 |a New Jersey  |b World Scientific  |c 2018 
300 |a x, 223 pages  |b illustrations  |c 24 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a 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. 
592 |a 37706  |b 26/08/2019  |c RM 308.78  |h Bookline 
650 0 |a Mathematical optimization. 
650 0 |a Mathematical analysis. 
999 |a vtls000063777  |c 52632  |d 52632