Linear Programming Using MATLAB®

Nikolaos Samaras

ISBN 10: 3319659170 / ISBN 13: 9783319659176

Edité par Springer International Publishing, 2017

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - 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.

N° de réf. du vendeur 9783319659176

Détails bibliographiques

• Titre: Linear Programming Using MATLAB®
• Éditeur: Springer International Publishing
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 3319659170
• ISBN à 13 chiffres: 9783319659176
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

Methodically presents all components of the simplex-type methods​

Enables readers to experiment with MATLAB(R) codes that are able to solve large-scale benchmark linear programs​

Contains 11 presolve techniques, 11 scaling techniques, 6 pivoting rules, and 4 basis inverse and update methods