Introduction to linear optimization and extensions with MATLAB® /

Bibliographic Details
Main Author: Kwon, Roy H. (eauthor.)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2013.
Edition:1st edition.
Series:Operations research series.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Abstract:Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current linear optimization technologies such as predictor-path following interior point methods for both linear and quadratic optimization as well as the inclusion of linear optimization of uncertainty id est stochastic programming with recourse and robust optimization.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (356 pages).
Bibliography:Includes bibliographical references.
ISBN:0429169450
9780429169458
1482204347
9781482204346