Linear Programming with MATLAB
- Paperback
280 pages
- Release Date
30 November 2007
Summary
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 …
Book Details
| ISBN-13: | 9780898716436 |
|---|---|
| ISBN-10: | 0898716438 |
| Author: | Stephen J. Wright, Michael C. Ferris, Olvi L. Mangasarian |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 280 |
| Edition: | 1st |
| Release Date: | 30 November 2007 |
| Weight: | 480g |
| Dimensions: | 253mm x 176mm x 14mm |
| Series: | MPS-SIAM Series on Optimization |
About The Author
Stephen J. Wright
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.
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