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portada Linear Programming Using Matlab® (Springer Optimization and its Applications)
Type
Physical Book
Publisher
Author
Year
2017
Language
English
Pages
637
Format
Hardcover
ISBN13
9783319659176
Edition No.
2017
Categories

Linear Programming Using Matlab® (Springer Optimization and its Applications)

Nikolaos Ploskas; Nikolaos Samaras (Author) · Springer · Hardcover

Linear Programming Using Matlab® (Springer Optimization and its Applications) - Nikolaos Ploskas; Nikolaos Samaras

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Synopsis "Linear Programming Using Matlab® (Springer Optimization and its Applications) "

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 (R) code. The MATLAB (R) 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.

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