Routh O. Matrix Algorithms in MatLAB

Academic Press, 2016. — 469 p. — ISBN: 978-0-12-803804-8.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.Key FeaturesPresents 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 developmentMatrix Decomposition by Non-orthogonal Transformation
Matrix Decomposition by Orthogonal Transformation
Direct Algorithms of Solution of Linear Equations
Iterative Algorithms of Solution of Linear Equations
Direct Algorithms of Unsymmetric Eigenvalue Problem
Direct Algorithms of Symmetric Eigenvalue Problem
Iterative Algorithms of Eigenvalue Problem
Algorithms of Singular Value Problem