Linear Programming with MATLAB by Stephen J. Wright (English) Paperback Book

Description: Linear Programming with MATLAB by Stephen J. Wright, Michael C. Ferris, Olvi L. Mangasarian A self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description This textbook provides a self-contained introduction to linear programming using MATLAB (R) software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming. Author Biography Michael C. Ferris is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison. Olvi L. Mangasarian is John von Neumann Professor Emeritus of Mathematics and Computer Sciences at the University of Wisconsin-Madison. Stephen J. Wright is a Professor in the Computer Sciences Department at the University of Wisconsin-Madison. Table of Contents 1. Introduction; 2. Linear algebra; 3. The simplex method; 4. Duality; 5. Solving large linear programs; 6. Sensitivity and parametric linear programming; 7. Quadratic programming and complementarity problems; 8. Interior point methods; 9. Approximation and classification; A. Linear algebra, convexity, and nonlinear functions; B. Summary of available MATLAB Commands; Bibliography; Index. Description for Bookstore A self-contained introduction to linear programming using MATLAB software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required. Description for Library A self-contained introduction to linear programming using MATLAB software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required. Details ISBN0898716438 Author Olvi L. Mangasarian Publisher Society for Industrial & Applied Mathematics,U.S. ISBN-10 0898716438 ISBN-13 9780898716436 Format Paperback Imprint Society for Industrial & Applied Mathematics,U.S. Place of Publication New York Country of Publication United States DEWEY 519.7/2 Illustrations Illustrations Edition 1st Media Book Language English Year 2007 Publication Date 2007-11-30 Pages 280 Series MPS-SIAM Series on Optimization Affiliation University of Wisconsin, Madison DOI 10.1604/9780898716436 Series Number 7 UK Release Date 2007-11-30 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:137272455;

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