Linear Algebra LABS with MATLAB

Linear Algebra LABS with MATLAB PDF Author: David Hill
Publisher: Prentice Hall
ISBN: 9780131432741
Category : Mathematics
Languages : en
Pages : 336

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Book Description

Linear Algebra LABS with MATLAB

Linear Algebra LABS with MATLAB PDF Author: David Hill
Publisher: Prentice Hall
ISBN: 9780131432741
Category : Mathematics
Languages : en
Pages : 336

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Book Description


Exploring Linear Algebra

Exploring Linear Algebra PDF Author: Crista Arangala
Publisher: CRC Press
ISBN: 1351664085
Category : Mathematics
Languages : en
Pages : 146

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Book Description
Exploring Linear Algebra: Labs and Projects with MATLAB® is a hands-on lab manual that can be used by students and instructors in classrooms every day to guide the exploration of the theory and applications of linear algebra. For the most part, labs discussed in the book can be used individually or in a sequence. Each lab consists of an explanation of material with integrated exercises. Some labs are split into multiple subsections and thus exercises are separated by those subsections. The exercise sections integrate problems using Mathematica demonstrations (an online tool that can be used with a browser with Java capabilities) and MATLAB® coding. This allows students to discover the theory and applications of linear algebra in a meaningful and memorable way. Features: The book’s inquiry-based approach promotes student interaction Each chapter contains a project set which consists of application-driven projects emphasizing the chapter’s materials Adds a project component to any Linear Algebra course Explores many applications to a variety of fields that can promote research projects Employs MATLAB® to calculate and explore concepts and theories of linear algebra

Matlab Linear Algebra Manual and Lab Projects T/a Elementary Linear Algebra, Applications Version 11E

Matlab Linear Algebra Manual and Lab Projects T/a Elementary Linear Algebra, Applications Version 11E PDF Author: Anton
Publisher:
ISBN: 9781118834282
Category :
Languages : en
Pages : 160

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Book Description


Linear Algebra and Matrix Computations with MATLAB®

Linear Algebra and Matrix Computations with MATLAB® PDF Author: Dingyü Xue
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110666995
Category : Computers
Languages : en
Pages : 301

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Book Description
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.

The MATLAB Project Book for Linear Algebra

The MATLAB Project Book for Linear Algebra PDF Author: Rick L. Smith
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 256

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Book Description


Advanced Linear Algebra for Engineers with MATLAB

Advanced Linear Algebra for Engineers with MATLAB PDF Author: Sohail A. Dianat
Publisher: CRC Press
ISBN: 1351834371
Category : Mathematics
Languages : en
Pages : 374

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Book Description
Arming readers with both theoretical and practical knowledge, Advanced Linear Algebra for Engineers with MATLAB® provides real-life problems that readers can use to model and solve engineering and scientific problems in fields ranging from signal processing and communications to electromagnetics and social and health sciences. Facilitating a unique understanding of rapidly evolving linear algebra and matrix methods, this book: Outlines the basic concepts and definitions behind matrices, matrix algebra, elementary matrix operations, and matrix partitions, describing their potential use in signal and image processing applications Introduces concepts of determinants, inverses, and their use in solving linear equations that result from electrical and mechanical-type systems Presents special matrices, linear vector spaces, and fundamental principles of orthogonality, using an appropriate blend of abstract and concrete examples and then discussing associated applications to enhance readers’ visualization of presented concepts Discusses linear operators, eigenvalues, and eigenvectors, and explores their use in matrix diagonalization and singular value decomposition Extends presented concepts to define matrix polynomials and compute functions using several well-known methods, such as Sylvester’s expansion and Cayley-Hamilton Introduces state space analysis and modeling techniques for discrete and continuous linear systems, and explores applications in control and electromechanical systems, to provide a complete solution for the state space equation Shows readers how to solve engineering problems using least square, weighted least square, and total least square techniques Offers a rich selection of exercises and MATLAB® assignments that build a platform to enhance readers’ understanding of the material Striking the appropriate balance between theory and real-life applications, this book provides both advanced students and professionals in the field with a valuable reference that they will continually consult.

Linear Algebra, Mat Labs

Linear Algebra, Mat Labs PDF Author: Terry Lawson
Publisher: Wiley
ISBN: 9780471149538
Category : Mathematics
Languages : en
Pages : 96

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Book Description
High level linear algebra book that blends both computational and theoretical aspects, using each to enhance the other. Explains the key points of the Gaussian elimination algorithm. Discusses vector spaces and linear transformations using matrix computations. Takes advantage of software packages such as MATLAB, Mathematica, and Maple.

Linear Algebra with Applications

Linear Algebra with Applications PDF Author: Steven J. Leon
Publisher: Pearson College Division
ISBN: 9780321759696
Category : Mathematics
Languages : en
Pages :

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Book Description
This package contains the following components: -0131432745: Linear Algebra Labs with MATLAB -0136009298: Linear Algebra with Applications

MATRIX AND LINEAR ALGEBRA AIDED WITH MATLAB

MATRIX AND LINEAR ALGEBRA AIDED WITH MATLAB PDF Author: Kanti Bhushan Datta
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120352866
Category : Mathematics
Languages : en
Pages : 717

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Book Description
With the inclusion of applications of singular value decomposition (SVD) and principal component analysis (PCA) to image compression and data analysis, this edition provides a strong foundation of linear algebra needed for a higher study in signal processing. The use of MATLAB in the study of linear algebra for a variety of computational purposes and the programmes provided in this text are the most attractive features of this book which strikingly distinguishes it from the existing linear algebra books needed as pre-requisites for the study of engineering subjects. This book is highly suitable for undergraduate as well as postgraduate students of mathematics, statistics, and all engineering disciplines. The book will also be useful to Ph.D. students for relevant mathematical resources.NEW TO THIS EDITION The Third Edition of this book includes: • Simultaneous diagonalization of two diagonalizable matrices • Comprehensive exposition of SVD with applications in shear analysis in engineering • Polar Decomposition of a matrix • Numerical experimentation with a colour and a black-and-white image compression using MATLAB • PCA methods of data analysis and image compression with a list of MATLAB codes

Elementary Linear Algebra with Applications

Elementary Linear Algebra with Applications PDF Author: George Nakos
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3111331857
Category : Mathematics
Languages : en
Pages : 700

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Book Description
This text offers a unique balance of theory and a variety of standard and new applications along with solved technology-aided problems. The book includes the fundamental mathematical theory, as well as a wide range of applications, numerical methods, projects, and technology-assisted problems and solutions in Maple, Mathematica, and MATLAB. Some of the applications are new, some are unique, and some are discussed in an essay. There is a variety of exercises which include True/False questions, questions that require proofs, and questions that require computations. The goal is to provide the student with is a solid foundation of the mathematical theory and an appreciation of some of the important real-life applications. Emphasis is given on geometry, matrix transformations, orthogonality, and least-squares. Designed for maximum flexibility, it is written for a one-semester/two semester course at the sophomore or junior level for students of mathematics or science.