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Beschreibung
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® code. The MATLAB® 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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 10. November 2017 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 1150 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783319659176 |
| Auflage | 2017 |
| Seiten | 637 |