# Matrix Algorithms in MATLAB

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- Author : Ong U. Routh
- Publisher : Academic Press
- Release : 22 April 2016
- ISBN : 9780128038697
- Page : 478 pages
- Rating : 4/5 from 1 voters

## Matrix Algorithms in MATLAB Book PDF summary

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

### Matrix Algorithms in MATLAB

- Author : Ong U. Routh
- Publisher : Academic Press
- Release Date : 2016-04-22
- ISBN : 9780128038697

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,

### MATLAB Matrix Algebra

- Author : Cesar Lopez
- Publisher : Apress
- Release Date : 2014-11-10
- ISBN : 9781484203071

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Matrix Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting

### Numerical Linear Algebra: Theory and Applications

- Author : Larisa Beilina,Evgenii Karchevskii,Mikhail Karchevskii
- Publisher : Springer
- Release Date : 2017-09-19
- ISBN : 9783319573045

This book combines a solid theoretical background in linear algebra with practical algorithms for numerical solution of linear algebra problems. Developed from a number of courses taught repeatedly by the authors, the material covers topics like matrix algebra, theory for linear systems of equations, spectral theory, vector and matrix norms combined with main direct and iterative numerical methods, least squares problems, and eigenproblems. Numerical algorithms illustrated by computer programs written in MATLAB® are also provided as supplementary material on SpringerLink

### Numerical Linear Algebra with Applications

- Author : William Ford
- Publisher : Academic Press
- Release Date : 2014-09-14
- ISBN : 9780123947840

Numerical Linear Algebra with Applications is designed for those who want to gain a practical knowledge of modern computational techniques for the numerical solution of linear algebra problems, using MATLAB as the vehicle for computation. The book contains all the material necessary for a first year graduate or advanced undergraduate course on numerical linear algebra with numerous applications to engineering and science. With a unified presentation of computation, basic algorithm analysis, and numerical methods to compute solutions, this book is

### Deblurring Images

- Author : Per Christian Hansen,James G. Nagy,Dianne P. O'Leary
- Publisher : SIAM
- Release Date : 2006-01-01
- ISBN : 0898718872

Describes the deblurring algorithms and techniques collectively known as spectral filtering methods, in which the singular value decomposition, or a similar decomposition with spectral properties, is used to introduce the necessary regularization or filtering in the reconstructed image. The concise MATLAB® implementations described in the book provide a template of techniques that can be used to restore blurred images from many applications.

### GMDH-Methodology and Implementation in MATLAB

- Author : Godfrey Onwubolu
- Publisher : World Scientific
- Release Date : 2016-06-14
- ISBN : 9781783266142

Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine. This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big

### Numerical Computing with MATLAB

- Author : Cleve B. Moler
- Publisher : SIAM
- Release Date : 2010-08-12
- ISBN : 9780898716603

A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.

### Linear Algebra and Matrix Computations with MATLAB®

- Author : Dingyü Xue
- Publisher : Walter de Gruyter GmbH & Co KG
- Release Date : 2020-03-23
- ISBN : 9783110666991

This book focuses the solutions of linear algebra and matrix analysis problems, with the exclusive use of MATLAB. The topics include representations, fundamental analysis, transformations of matrices, matrix equation solutions as well as matrix functions. Attempts on matrix and linear algebra applications are also explored.

### A MATLAB Exercise Book

- Author : Ludmila Kuncheva,Cameron Gray
- Publisher : Lulu.com
- Release Date : 2014-06-18
- ISBN : 9781291784794

A practical guide to problem solving using MATLAB. Designed to complement a taught course introducing MATLAB but ideally suited for any beginner. This book provides a brief tour of some of the tasks that MATLAB is perfectly suited to instead of focusing on any particular topic. Providing instruction, guidance and a large supply of exercises, this book is meant to stimulate problem-solving skills rather than provide an in-depth knowledge of the MATLAB language.

### Introduction to Genetic Algorithms

- Author : S.N. Sivanandam,S. N. Deepa
- Publisher : Springer Science & Business Media
- Release Date : 2007-10-24
- ISBN : 9783540731900

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.

### Matrix Algorithms

- Author : G. W. Stewart
- Publisher : SIAM
- Release Date : 1998-08-01
- ISBN : 9781611971408

This volume is the first in a self-contained five-volume series devoted to matrix algorithms. It focuses on the computation of matrix decompositions--that is, the factorization of matrices into products of similar ones. The first two chapters provide the required background from mathematics and computer science needed to work effectively in matrix computations. The remaining chapters are devoted to the LU and QR decompositions--their computation and applications. The singular value decomposition is also treated, although algorithms for its computation will appear

### Handbook for Automatic Computation

- Author : John H. Wilkinson,C. Reinsch
- Publisher : Springer Science & Business Media
- Release Date : 2012-12-06
- ISBN : 9783642869402

The development of the internationally standardized language ALGOL has made it possible to prepare procedures which can be used without modification whenever a computer with an ALGOL translator is available. Volume Ia in this series gave details of the restricted version of ALGOL which is to be employed throughout the Handbook, and volume Ib described its implementation on a computer. Each of the subsequent volumes will be devoted to a presentation of the basic algorithms in some specific areas of

### Direct Methods for Sparse Linear Systems

- Author : Timothy A. Davis
- Publisher : SIAM
- Release Date : 2006-09-01
- ISBN : 9780898716139

The sparse backslash book. Everything you wanted to know but never dared to ask about modern direct linear solvers. Chen Greif, Assistant Professor, Department of Computer Science, University of British Columbia.Overall, the book is magnificent. It fills a long-felt need for an accessible textbook on modern sparse direct methods. Its choice of scope is excellent John Gilbert, Professor, Department of Computer Science, University of California, Santa Barbara.Computational scientists often encounter problems requiring the solution of sparse systems of

### Matrix Algorithms

- Author : G. W. Stewart
- Publisher : SIAM
- Release Date : 1998-08-01
- ISBN : 9780898714142

This volume is the first in a self-contained five-volume series devoted to matrix algorithms. It focuses on the computation of matrix decompositions--that is, the factorization of matrices into products of similar ones. The first two chapters provide the required background from mathematics and computer science needed to work effectively in matrix computations. The remaining chapters are devoted to the LU and QR decompositions--their computation and applications. The singular value decomposition is also treated, although algorithms for its computation will appear

### Optimization

- Author : Rajesh Kumar Arora
- Publisher : CRC Press
- Release Date : 2015-05-06
- ISBN : 9781498721158

Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co