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Linear Programming Using MATLAB¬

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Linear Programming Using MATLAB¬ Synopsis

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.

About This Edition

ISBN: 9783319659176
Publication date:
Author: Nikolaos Ploskas, Nikolaos Samaras
Publisher: Springer an imprint of Springer International Publishing
Format: Hardback
Pagination: 637 pages
Series: Springer Optimization and Its Applications
Genres: Optimization
Mathematical and statistical software
Algorithms and data structures
Mathematical theory of computation

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