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Introduction to linear optimization and extensions with MATLAB / Roy H. Kwon.

By: Material type: TextTextSeries: The operations research seriesPublication details: Boca Raton : CRC Press, ©2014.Description: xviii, 343 p. : ill. ; 25 cmISBN:
  • 9781439862636
Subject(s): DDC classification:
  • 519.72 23 K98
Contents:
1: Linear Programming; 2: Geometry of Linear Programming; 3: The Simplex Method; 4: Duality Theory; 5: Dantzig-Wolfe Decomposition; 6: Interior Point Methods; 7: Quadratic Programming; 8: Linear Optimization under Uncertainty; A Linear Algebra Review; Bibliography; Index.
Summary: 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.
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Includes bibliographical references and index.

1: Linear Programming;
2: Geometry of Linear Programming;
3: The Simplex Method;
4: Duality Theory;
5: Dantzig-Wolfe Decomposition;
6: Interior Point Methods;
7: Quadratic Programming;
8: Linear Optimization under Uncertainty;
A Linear Algebra Review;
Bibliography;
Index.

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.

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