Produktbild: Linear Programming Using MATLAB®

Linear Programming Using MATLAB®

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160,49 €

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Springer Optimization and Its Applications 127

ISBN: 3319659170
ISBN 13: 9783319659176
Autor: Ploskas, Nikolaos/Samaras, Nikolaos
Verlag: Springer Verlag GmbH
Umfang: xvii, 637 S., 12 s/w Illustr., 47 farbige Illustr., 637 p. 59 illus., 47 illus. in color. With online files/update.
Erscheinungsdatum: 10.11.2017
Auflage: 1/2017
Format: 4.2 x 24.2 x 16.3
Gewicht: 1136 g
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 2633667 Kategorie:

Beschreibung

Methodically presents all components of the simplex-type methodsEnables readers to experiment with MATLAB® 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

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