Matrix Algorithms in MATLAB
Autor Ong U. Routhen Limba Engleză Paperback – 29 mar 2016
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
Preț: 555.17 lei
Preț vechi: 642.78 lei
-14% Nou
Puncte Express: 833
Preț estimativ în valută:
106.29€ • 115.16$ • 88.76£
106.29€ • 115.16$ • 88.76£
Carte tipărită la comandă
Livrare economică 05-19 decembrie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780128038048
ISBN-10: 0128038047
Pagini: 478
Ilustrații: 50 illustrations
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128038047
Pagini: 478
Ilustrații: 50 illustrations
Dimensiuni: 191 x 235 x 25 mm
Greutate: 1 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Introduction2. Matrix Decomposition by Non-orthogonal Transformation3. Matrix Decomposition by Orthogonal Transformation4. Direct Algorithms of Solution of Linear Equations5. Iterative Algorithms of Solution of Linear Equations6. Direct Algorithms of Unsymmetric Eigenvalue Problem7. Direct Algorithms of Symmetric Eigenvalue Problem8. Iterative Algorithms of Eigenvalue Problem9. Algorithms of Singular Value Problem
Recenzii
"After a brief mathematical exposure, the algorithm is presented through the use of real computer codes. This ensures a better understanding of how an algorithm works, than by only studying their pseudo-codes as happens in classical algorithmic books." --Zentralblatt MATH