Matrix Algorithms in MATLAB Book
Score: 4
From 1 Ratings

Matrix Algorithms in MATLAB


  • Author : Ong U. Routh
  • Publisher : Academic Press
  • Release Date : 2016-04-22
  • Genre: Mathematics
  • Pages : 478
  • ISBN 10 : 9780128038697

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Matrix Algorithms in MATLAB Excerpt :

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 Theory and Applications with MATLAB Book

Matrix Theory and Applications with MATLAB


  • Author : Darald J. Hartfiel
  • Publisher : CRC Press
  • Release Date : 2017-12-19
  • Genre: Mathematics
  • Pages : 252
  • ISBN 10 : 9781351990264

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Matrix Theory and Applications with MATLAB Excerpt :

Designed for use in a second course on linear algebra, Matrix Theory and Applications with MATLAB covers the basics of the subject-from a review of matrix algebra through vector spaces to matrix calculus and unitary similarity-in a presentation that stresses insight, understanding, and applications. Among its most outstanding features is the integration of MATLAB throughout the text. Each chapter includes a MATLAB subsection that discusses the various commands used to do the computations in that section and offers code for the graphics and some algorithms used in the text. All of the material is presented from a matrix point of view with enough rigor for students to learn to compose arguments and proofs and adjust the material to cover other problems. The treatment includes optional subsections covering applications, and the final chapters move beyond basic matrix theory to discuss more advanced topics, such as decompositions, positive definite matrices, graphics, and topology. Filled with illustrations, examples, and exercises that reinforce understanding, Matrix Theory and Applications with MATLAB allows readers to experiment and visualize results in a way that no other text does. Its rigor, use of MATLAB, and focus on applications better prepares them to use the material in their future work and research, to extend the material, and perhaps obtain new results of their own.

MATLAB Matrix Algebra Book

MATLAB Matrix Algebra


  • Author : Cesar Lopez
  • Publisher : Apress
  • Release Date : 2014-11-10
  • Genre: Computers
  • Pages : 234
  • ISBN 10 : 9781484203071

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MATLAB Matrix Algebra Excerpt :

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 with a look at symbolic and numeric variables, with an emphasis on vector and matrix variables, you will go on to examine functions and operations that support vectors and matrices as arguments, including those based on analytic parent functions. Computational methods for finding eigenvalues and eigenvectors of matrices are detailed, leading to various matrix decompositions. Applications such as change of bases, the classification of quadratic forms and how to solve systems of linear equations are described, with numerous examples. A section is dedicated to sparse matrices and other types of special matrices. In addition to its treatment of matrices, you will also learn how MATLAB can be used to work with arrays, lists, tables, sequences and sets.

Numerical Linear Algebra  Theory and Applications Book

Numerical Linear Algebra Theory and Applications


  • Author : Larisa Beilina
  • Publisher : Springer
  • Release Date : 2017-09-19
  • Genre: Mathematics
  • Pages : 450
  • ISBN 10 : 9783319573045

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Numerical Linear Algebra Theory and Applications Excerpt :

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 to give the reader a better understanding of professional numerical software for the solution of real-life problems. Perfect for a one- or two-semester course on numerical linear algebra, matrix computation, and large sparse matrices, this text will interest students at the advanced undergraduate or graduate level.

Numerical Linear Algebra with Applications Book

Numerical Linear Algebra with Applications


  • Author : William Ford
  • Publisher : Academic Press
  • Release Date : 2014-09-14
  • Genre: Mathematics
  • Pages : 628
  • ISBN 10 : 9780123947840

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Numerical Linear Algebra with Applications Excerpt :

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 ideal for solving real-world problems. The text consists of six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra. It explains in great detail the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra. In addition to examples from engineering and science applications, proofs of required results are provided without leaving out critical details. The Preface suggests ways in which the book can be used with or without an intensive study of proofs. This book will be a useful reference for graduate or advanced undergraduate students in engineering, science, and mathematics. It will also appeal to professionals in engineering and science, such as practicing engineers who want to see how numerical linear algebra problems can be solved using a programming language such as MATLAB, MAPLE, or Mathematica. Six introductory chapters that thoroughly provide the required background for those who have not taken a course in applied or theoretical linear algebra Detailed explanations and examples A through discussion of the algorithms necessary for the accurate computation of the solution to the most frequently occurring problems in numerical linear algebra Examples from engineering and science applications

Linear Algebra and Matrix Computations with MATLAB   Book

Linear Algebra and Matrix Computations with MATLAB


  • Author : Dingyü Xue
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release Date : 2020-03-23
  • Genre: Computers
  • Pages : 301
  • ISBN 10 : 9783110666991

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Linear Algebra and Matrix Computations with MATLAB Excerpt :

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.

Deblurring Images Book

Deblurring Images


  • Author : Per Christian Hansen
  • Publisher : SIAM
  • Release Date : 2006-01-01
  • Genre: Technology & Engineering
  • Pages : 144
  • ISBN 10 : 0898718872

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Deblurring Images Excerpt :

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.

Matrix Algorithms Book

Matrix Algorithms


  • Author : G. W. Stewart
  • Publisher : SIAM
  • Release Date : 1998-08-01
  • Genre: Mathematics
  • Pages : 458
  • ISBN 10 : 9781611971408

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Matrix Algorithms Excerpt :

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 in the second volume of the series. The present volume contains 65 algorithms formally presented in pseudocode. Other volumes in the series will treat eigensystems, iterative methods, sparse matrices, and structured problems. The series is aimed at the nonspecialist who needs more than black-box proficiency with matrix computations. To give the series focus, the emphasis is on algorithms, their derivation, and their analysis. The reader is assumed to have a knowledge of elementary analysis and linear algebra and a reasonable amount of programming experience, typically that of the beginning graduate engineer or the undergraduate in an honors program. Strictly speaking, the individual volumes are not textbooks, although they are intended to teach, the guiding principle being that if something is worth explaining, it is worth explaining fully. This has necessarily restricted the scope of the series, but the selection of topics should give the reader a sound basis for further study.

Introduction to Genetic Algorithms Book
Score: 4.5
From 2 Ratings

Introduction to Genetic Algorithms


  • Author : S.N. Sivanandam
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-10-24
  • Genre: Technology & Engineering
  • Pages : 442
  • ISBN 10 : 9783540731900

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Introduction to Genetic Algorithms Excerpt :

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.

GMDH Methodology and Implementation in MATLAB Book

GMDH Methodology and Implementation in MATLAB


  • Author : Godfrey Onwubolu
  • Publisher : World Scientific
  • Release Date : 2016-06-14
  • Genre: Computers
  • Pages : 284
  • ISBN 10 : 9781783266142

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GMDH Methodology and Implementation in MATLAB Excerpt :

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 data analytics. Error-free source codes in MATLAB have been included in supplementary material (accessible online) to assist users in their understanding in GMDH and to make it easy for users to further develop variations of GMDH algorithms. Contents:Basic/Standard GMDH:Introduction (Godfrey C Onwubolu)GMDH Multilayered Algorithm (Godfrey C Onwubolu)GMDH Multilayered Algorithm in MATLAB (Mohammed Abdalla Ayoub Mohammed)Hybrid GMDH System:GMDH-Based Polynomial Neural Network Algorithm in MATLAB (Elaine Inácio Bueno, Iraci Martinez Pereira and Antonio Teixeira e Silva)Designing GMDH Model Using Modified Levenberg Marquardt Technique in Matlab (Maryam Pournasir Roudbaneh)Group Method of Data Handing Using Discrete Differential Evolution in Matlab (Donald Davendra, Godfrey Onwubolu and Ivan Zelinka) Readership: Professionals and students interested in data mining and analytics.

A MATLAB Exercise Book Book
Score: 4
From 1 Ratings

A MATLAB Exercise Book


  • Author : Ludmila Kuncheva
  • Publisher : Lulu.com
  • Release Date : 2014-06-18
  • Genre: Education
  • Pages : 165
  • ISBN 10 : 9781291784794

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A MATLAB Exercise Book Excerpt :

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.

Handbook for Automatic Computation Book

Handbook for Automatic Computation


  • Author : John H. Wilkinson
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Computers
  • Pages : 441
  • ISBN 10 : 9783642869402

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Handbook for Automatic Computation Excerpt :

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 numerical analysis. This is the first such volume and it was feIt that the topic Linear Algebra was a natural choice, since the relevant algorithms are perhaps the most widely used in numerical analysis and have the advantage of forming a weil defined dass. The algorithms described here fall into two main categories, associated with the solution of linear systems and the algebraic eigenvalue problem respectively and each set is preceded by an introductory chapter giving a comparative assessment.

Numerical Computing with MATLAB Book

Numerical Computing with MATLAB


  • Author : Cleve B. Moler
  • Publisher : SIAM
  • Release Date : 2010-08-12
  • Genre: Computers
  • Pages : 340
  • ISBN 10 : 9780898716603

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Numerical Computing with MATLAB Excerpt :

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

Optimization Book

Optimization


  • Author : Rajesh Kumar Arora
  • Publisher : CRC Press
  • Release Date : 2015-05-06
  • Genre: Business & Economics
  • Pages : 466
  • ISBN 10 : 9781498721158

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Optimization Excerpt :

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

Matrix Algorithms Book

Matrix Algorithms


  • Author : G. W. Stewart
  • Publisher : SIAM
  • Release Date : 1998-08-01
  • Genre: Mathematics
  • Pages : 476
  • ISBN 10 : 9780898714142

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Matrix Algorithms Excerpt :

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 in the second volume of the series. The present volume contains 65 algorithms formally presented in pseudocode. Other volumes in the series will treat eigensystems, iterative methods, sparse matrices, and structured problems. The series is aimed at the nonspecialist who needs more than black-box proficiency with matrix computations. To give the series focus, the emphasis is on algorithms, their derivation, and their analysis. The reader is assumed to have a knowledge of elementary analysis and linear algebra and a reasonable amount of programming experience, typically that of the beginning graduate engineer or the undergraduate in an honors program. Strictly speaking, the individual volumes are not textbooks, although they are intended to teach, the guiding principle being that if something is worth explaining, it is worth explaining fully. This has necessarily restricted the scope of the series, but the selection of topics should give the reader a sound basis for further study.