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Springer Linear Programming Using MATLAB®: 127 (Springer Optimization and Its Applications)

Name: Linear Programming Using MATLAB(R): 127 (Springer Optimization and Its Applications)
Brand: Springer
Price: 80.19 GBP
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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.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3319881310
Category: Books > Subjects > Computing & Internet > Programming > Algorithms
Domain: Amazon UK
Release Date: 25 August 2018
Listed Since: 21 March 2019

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Springer Linear Programming Using MATLAB®: 127 (Springer Optimization and Its Applications)

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