Linear Programming with MATLAB (MPS-SIAM Series on Optimization, Series Number 7) - Softcover

Ferris, Michael C.; Mangasarian, Olvi L.; Wright, Stephen J.

Softcover

ISBN 10: 0898716438 ISBN 13: 9780898716436

Publisher: Society for Industrial and Applied Mathematics, 2008

Synopsis

This textbook provides a self-contained introduction to linear programming using MATLAB® 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.

About this title

About the Authors

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.

Edition details

• Publisher: Society for Industrial and Applied Mathematics
• Publication date: 2008
• Language: English
• ISBN 10: 0898716438
• ISBN 13: 9780898716436
• Binding: Paperback
• Edition number: 1
• Number of pages: 280