Matrices in Engineering Problems

Matrices in Engineering Problems

Author: Marvin Tobias

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 268

ISBN-13: 3031024028

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This book is intended as an undergraduate text introducing matrix methods as they relate to engineering problems. It begins with the fundamentals of mathematics of matrices and determinants. Matrix inversion is discussed, with an introduction of the well known reduction methods. Equation sets are viewed as vector transformations, and the conditions of their solvability are explored. Orthogonal matrices are introduced with examples showing application to many problems requiring three dimensional thinking. The angular velocity matrix is shown to emerge from the differentiation of the 3-D orthogonal matrix, leading to the discussion of particle and rigid body dynamics. The book continues with the eigenvalue problem and its application to multi-variable vibrations. Because the eigenvalue problem requires some operations with polynomials, a separate discussion of these is given in an appendix. The example of the vibrating string is given with a comparison of the matrix analysis to the continuous solution. Table of Contents: Matrix Fundamentals / Determinants / Matrix Inversion / Linear Simultaneous Equation Sets / Orthogonal Transforms / Matrix Eigenvalue Analysis / Matrix Analysis of Vibrating Systems


Matrix Operations for Engineers and Scientists

Matrix Operations for Engineers and Scientists

Author: Alan Jeffrey

Publisher: Springer Science & Business Media

Published: 2010-09-05

Total Pages: 323

ISBN-13: 9048192749

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Engineers and scientists need to have an introduction to the basics of linear algebra in a context they understand. Computer algebra systems make the manipulation of matrices and the determination of their properties a simple matter, and in practical applications such software is often essential. However, using this tool when learning about matrices, without first gaining a proper understanding of the underlying theory, limits the ability to use matrices and to apply them to new problems. This book explains matrices in the detail required by engineering or science students, and it discusses linear systems of ordinary differential equations. These students require a straightforward introduction to linear algebra illustrated by applications to which they can relate. It caters of the needs of undergraduate engineers in all disciplines, and provides considerable detail where it is likely to be helpful. According to the author the best way to understand the theory of matrices is by working simple exercises designed to emphasize the theory, that at the same time avoid distractions caused by unnecessary numerical calculations. Hence, examples and exercises in this book have been constructed in such a way that wherever calculations are necessary they are straightforward. For example, when a characteristic equation occurs, its roots (the eigenvalues of a matrix) can be found by inspection. The author of this book is Alan Jeffrey, Emeritus Professor of mathematics at the University of Newcastle upon Tyne. He has given courses on engineering mathematics at UK and US Universities.


Matrices for Engineers

Matrices for Engineers

Author: Allan D. Kraus

Publisher: Oxford University Press on Demand

Published: 2002

Total Pages: 258

ISBN-13: 9780195150131

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Matrices for Engineers is designed to supply engineers and engineering students with a foundation in matrix theory and versatility in the manipulation of matrices. The book's approach provides the necessary material in a direct manner, with examples that illustrate each concept as it appears. The book emphasizes methodology and includes topics such as how to obtain the characteristic polynomial of a matrix; the factorizations of a coefficient matrix for ease of computation; and linear transformations from an intuitive and engineering point of view, in which conditions at one point in a system induce conditions at another. Indeed, it covers computational techniques and goes beyond matrix algebra to include matrix calculus. Perfect for self-study, Matrices for Engineers also functions as a supplement to Oxford University Press's popular Linear Circuit Analysis, Second Edition (0-19-513666-7), by Raymond A. DeCarlo and Pen-Min Lin or any introductory electrical engineering text, such as Introduction to Electrical Engineering (0-19-513604-7) by Mulukutla S. Sarma. It can also be used to help in preparing for the Fundamentals of Engineering (FE)/Engineer-in-Training (EIT) exam and the Professional Engineer (PE) exam. For a complete and detailed list of engineering exam review books available from Oxford University Press, visit our website at http://www.engineeringpress.com. Also Available from Oxford University Press DeCarlo and Lin's Linear Circuit Analysis, Second Edition (0-19-513666-7): Allan's Circuits Problems by Allan D. Kraus (0-19-514248-9) Solutions Manual to Accompany Linear Circuit Analysis, Second Edition, by Raymond A. DeCarlo and Pen-Min Lin (0-19-514218-7) Microsoft PowerPoint Overheads to Accompany Linear Circuit Analysis, Second Edition (0-19-514724-3) Sarma's Introduction to Electrical Engineering (0-19-513604-7): Solutions Manual to Accompany Introduction to Electrical Engineering by Mulukutla S. Sarma (0-19-514260-8) Microsoft PowerPoint Overheads to Accompany Introduction to Electrical Engineering (0-19-514472-4) KC's Problems and Solutions to Accompany Microelectronic Circuits, Fourth Edition, by K. C. Smith (0-19-511771-9) Spice, Second Edition, by Gordon Roberts and Adel Sedra (0-19-510842-6) Getting Started with MATLAB: A Quick Introduction for Scientists and Engineers (Version 6), by Rudra Pratap (0-19-515014-7)


Hierarchical Matrices

Hierarchical Matrices

Author: Mario Bebendorf

Publisher: Springer Science & Business Media

Published: 2008-06-25

Total Pages: 303

ISBN-13: 3540771476

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Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution operators of elliptic boundary value problems. In addition to storing such matrices, approximations of the usual matrix operations can be computed with logarithmic-linear complexity, which can be exploited to setup approximate preconditioners in an efficient and convenient way. Besides the algorithmic aspects of hierarchical matrices, the main aim of this book is to present their theoretical background. The book contains the existing approximation theory for elliptic problems including partial differential operators with nonsmooth coefficients. Furthermore, it presents in full detail the adaptive cross approximation method for the efficient treatment of integral operators with non-local kernel functions. The theory is supported by many numerical experiments from real applications.


Introduction to Applied Linear Algebra

Introduction to Applied Linear Algebra

Author: Stephen Boyd

Publisher: Cambridge University Press

Published: 2018-06-07

Total Pages: 477

ISBN-13: 1316518965

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A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.


Intelligent Systems and Networks

Intelligent Systems and Networks

Author: Duc-Tan Tran

Publisher: Springer Nature

Published: 2021-05-12

Total Pages: 697

ISBN-13: 9811620946

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This book presents Proceedings of the International Conference on Intelligent Systems and Networks (ICISN 2021), held at Hanoi in Vietnam. It includes peer-reviewed high-quality articles on intelligent system and networks. It brings together professionals and researchers in the area and presents a platform for exchange of ideas and to foster future collaboration. The topics covered in this book include—foundations of computer science; computational intelligence language and speech processing; software engineering software development methods; wireless communications signal processing for communications; electronics track IoT and sensor systems embedded systems; etc.


Problems And Solutions In Introductory And Advanced Matrix Calculus (Second Edition)

Problems And Solutions In Introductory And Advanced Matrix Calculus (Second Edition)

Author: Yorick Hardy

Publisher: World Scientific Publishing Company

Published: 2016-07-14

Total Pages: 566

ISBN-13: 9813143819

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This book provides an extensive collection of problems with detailed solutions in introductory and advanced matrix calculus. Supplementary problems in each chapter will challenge and excite the reader, ideal for both graduate and undergraduate mathematics and theoretical physics students. The coverage includes systems of linear equations, linear differential equations, integration and matrices, Kronecker product and vec-operation as well as functions of matrices. Furthermore, specialized topics such as spectral theorem, nonnormal matrices and mutually unbiased bases are included. Many of the problems are related to applications for group theory, Lie algebra theory, wavelets, graph theory and matrix-valued differential forms, benefitting physics and engineering students and researchers alike. It also branches out to problems with tensors and the hyperdeterminant. Computer algebra programs in Maxima and SymbolicC++ have also been provided.


Matrix Theory

Matrix Theory

Author: Fuzhen Zhang

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 290

ISBN-13: 1475757972

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This volume concisely presents fundamental ideas, results, and techniques in linear algebra and mainly matrix theory. Each chapter focuses on the results, techniques, and methods that are beautiful, interesting, and representative, followed by carefully selected problems. For many theorems several different proofs are given. The only prerequisites are a decent background in elementary linear algebra and calculus.


Numerical Methods for Large Eigenvalue Problems

Numerical Methods for Large Eigenvalue Problems

Author: Yousef Saad

Publisher: SIAM

Published: 2011-01-01

Total Pages: 292

ISBN-13: 9781611970739

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This revised edition discusses numerical methods for computing eigenvalues and eigenvectors of large sparse matrices. It provides an in-depth view of the numerical methods that are applicable for solving matrix eigenvalue problems that arise in various engineering and scientific applications. Each chapter was updated by shortening or deleting outdated topics, adding topics of more recent interest, and adapting the Notes and References section. Significant changes have been made to Chapters 6 through 8, which describe algorithms and their implementations and now include topics such as the implicit restart techniques, the Jacobi-Davidson method, and automatic multilevel substructuring.


Exercises And Problems In Linear Algebra

Exercises And Problems In Linear Algebra

Author: John M Erdman

Publisher: World Scientific

Published: 2020-09-28

Total Pages: 220

ISBN-13: 9811220425

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This book contains an extensive collection of exercises and problems that address relevant topics in linear algebra. Topics that the author finds missing or inadequately covered in most existing books are also included. The exercises will be both interesting and helpful to an average student. Some are fairly routine calculations, while others require serious thought.The format of the questions makes them suitable for teachers to use in quizzes and assigned homework. Some of the problems may provide excellent topics for presentation and discussions. Furthermore, answers are given for all odd-numbered exercises which will be extremely useful for self-directed learners. In each chapter, there is a short background section which includes important definitions and statements of theorems to provide context for the following exercises and problems.