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Matrix Algorithms in MATLAB
by Ong U. Routh


Overview -

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity.  Read more...


 
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Language: English

 
 
 
 

More About Matrix Algorithms in MATLAB by Ong U. Routh
 
 
 
Overview

Matrix Algorithms in MATLAB focuses on the MATLAB code implementations of matrix algorithms. The MATLAB codes presented in the book are tested with thousands of runs of MATLAB randomly generated matrices, and the notation in the book follows the MATLAB style to ensure a smooth transition from formulation to the code, with MATLAB codes discussed in this book kept to within 100 lines for the sake of clarity.

The book provides an overview and classification of the interrelations of various algorithms, as well as numerous examples to demonstrate code usage and the properties of the presented algorithms. Despite the wide availability of computer programs for matrix computations, it continues to be an active area of research and development. New applications, new algorithms, and improvements to old algorithms are constantly emerging.


  • Presents the first book available on matrix algorithms implemented in real computer code
  • Provides algorithms covered in three parts, the mathematical development of the algorithm using a simple example, the code implementation, and then numerical examples using the code
  • Allows readers to gain a quick understanding of an algorithm by debugging or reading the source code
  • Includes downloadable codes on an accompanying companion website, www.matrixalgorithmsinmatlab.com, that can be used in other software development


  • This item is Non-Returnable.

     
    Details
    • ISBN: 9780128038697
    • Publisher: Elsevier Science
    • Imprint: Academic Press
    • Date: Apr 2016
     
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