Linear Programming Using MATLAB®

Beschreibung

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.

Methodically presents all components of the simplex-type methods

Enables readers to experiment with MATLAB® codes that are able to solve large-scale benchmark linear programs 

Autor*in

Nikolaos Ploskas

Themen in »Linear Programming Using MATLAB®«

MATLAB linear programming linear programming algorithms parametric programming scaling techniques sensitivity analysis simplex algorithm Linear Programming Problem Convert MAT2MPS Geometry of Linear Programming Problems Convert MPS2MAT Presolve Methods Gauss-Jordan Elimination matlab Optimization toolbox Pivoting Rules matlab toolbox

Stimmen zu »Linear Programming Using MATLAB®«

Details

Link teilen