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OverviewFull Product DetailsAuthor: 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: 9781439862636ISBN 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 ![]() 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 ContentsFUNDAMENTALS: 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 InformationRoy H Kwon is a professor at University of Toronto - St. George Campus, Canada. Tab Content 6Author Website:Countries AvailableAll regions |