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springer-math / linear-programming-using-MATLAB. 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 .... Topics covered include linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. MATLAB is introduced and used throughout the book to solve numerous application examples. In addition, a set of MATLAB M-files is available for download. Get companion software. "/>
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Linear-Programming-Solution-using-MATLAB. MATLAB code for linear programming with MATLAB TO solve any problem required to read through initial comments to properly enter the LP equation details in matrix form. Once euqations enters in requird matrix format code will run through and provide the optimal solution for all variables. The first thing that you need to know about linear programming in Matlab is that it uses a very familiar form of a mathematical equation to solve for the unknown function. linear equations can be used in Matlab in various ways. In the past, Matlabs included an internal simulator that simulated an unknown function.. Ploskas and Samaras' book is dedicated to discussing the theory behind the simplex method and showing how the computational software MATLAB® can be used to solve linear programming problems. Although the book covers many of the standard topics, it seems to assume some familiarity with these topics going in, and focuses on using MATLAB to.
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