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Optimization Theory: A Concise Introduction

746.000

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AuthorJiongmin Yong
ISBN9780000988935
Published LanguageEnglish
Publication Year2020
PublisherWorld Scientific
BindingPaperback
Original Price$78
Pages236
EditionWorld Scientific Low Price Edition (WSLPE)

Description

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 onesemester 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.

Additional information

Weight0.414 kg
Dimensions1.5 × 15.2 × 22.9 cm
Author

ISBN

Published Language

Publication Year

Publisher

Binding

Original Price

Pages

236

Edition

World Scientific Low Price Edition (WSLPE)