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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® 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.
Pages
637 pages
Collection
Springer Optimization and Its Applications
Parution
2017-10-28
Marque
Springer
EAN papier
9783319659176
EAN PDF
9783319659190

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
7936 Ko
Prix
105,49 €
EAN EPUB
9783319659190

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
38267 Ko
Prix
105,49 €