Linear Programming Using MATLAB®

von Nikolaos Ploskas, Nikolaos Samaras

637 Seiten, Hardcover

Kurzbeschreibung des Verlags

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.

• Reihe: Springer Optimization and Its Applications
• Themen: Mathematik und Naturwissenschaften Mathematik Optimierung
• ISBN: 9783319659176
• Sprache: Englisch
• Erscheinungsdatum: 10.11.2017
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing