| Linear Programming Using Matlab(r) 2017 Edition Contributor(s): Ploskas, Nikolaos (Author), Samaras, Nikolaos (Author) |
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ISBN: 3319659170 ISBN-13: 9783319659176 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: November 2017 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Mathematical & Statistical Software - Computers | Data Processing |
| Dewey: 004 |
| Series: Springer Optimization and Its Applications |
| Physical Information: 1.44" H x 6.14" W x 9.21" (2.42 lbs) 637 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB(R) code. The MATLAB(R) implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis. |