Introduction to Linear Optimization and Extensions with MATLAB®

Author:   Roy H. Kwon (University of Toronto, Canada)
Publisher:   Taylor & Francis Inc
Volume:   10
ISBN:  

9781439862636


Pages:   362
Publication Date:   05 September 2013
Format:   Hardback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Introduction to Linear Optimization and Extensions with MATLAB®


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Author:   Roy H. Kwon (University of Toronto, Canada)
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Volume:   10
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.646kg
ISBN:  

9781439862636


ISBN 10:   143986263
Pages:   362
Publication Date:   05 September 2013
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

FUNDAMENTALS: Geometry of Linear Optimization. Simplex Method. Duality and Sensitivity Analysis. EXTENSIONS: Decomposition in Linear Optimization. Quadratic Optimization. Interior Point Methods. ROBUST STRATEGIES FOR LINEAR OPTIMIZATION: Stochastic Programming. Robust Linear Optimization.

Reviews

""The book goes beyond a `cookbook' for linear optimization in Matlab; instead it outlines and explains the theory behind each linear optimization technique and a number of essential theorems are provided and proven. This greatly helps the reader understand why each technique works and how it is implemented in the Matlab software. Computational projects suggested in the book can also assist students with the practical implementation of the techniques in real-life applications. —Efstratios Rappos (Aubonne) in Zentralblatt, MATH 1287


The book goes beyond a 'cookbook' for linear optimization in Matlab; instead it outlines and explains the theory behind each linear optimization technique and a number of essential theorems are provided and proven. This greatly helps the reader understand why each technique works and how it is implemented in the Matlab software. Computational projects suggested in the book can also assist students with the practical implementation of the techniques in real-life applications. -Efstratios Rappos (Aubonne) in Zentralblatt, MATH 1287


The book goes beyond a `cookbook' for linear optimization in Matlab; instead it outlines and explains the theory behind each linear optimization technique and a number of essential theorems are provided and proven. This greatly helps the reader understand why each technique works and how it is implemented in the Matlab software. Computational projects suggested in the book can also assist students with the practical implementation of the techniques in real-life applications. -Efstratios Rappos (Aubonne) in Zentralblatt, MATH 1287


Author Information

Roy H Kwon is a professor at University of Toronto - St. George Campus, Canada.

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