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.


Matrix, Numerical, and Optimization Methods in Science and Engineering

Matrix, Numerical, and Optimization Methods in Science and Engineering

Author: Kevin W. Cassel

Publisher: Cambridge University Press

Published: 2021-03-04

Total Pages: 728

ISBN-13: 1108787622

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Address vector and matrix methods necessary in numerical methods and optimization of linear systems in engineering with this unified text. Treats the mathematical models that describe and predict the evolution of our processes and systems, and the numerical methods required to obtain approximate solutions. Explores the dynamical systems theory used to describe and characterize system behaviour, alongside the techniques used to optimize their performance. Integrates and unifies matrix and eigenfunction methods with their applications in numerical and optimization methods. Consolidating, generalizing, and unifying these topics into a single coherent subject, this practical resource is suitable for advanced undergraduate students and graduate students in engineering, physical sciences, and applied mathematics.


Mathematical Techniques for Engineers and Scientists

Mathematical Techniques for Engineers and Scientists

Author: Larry C. Andrews

Publisher: SPIE Press

Published: 2003

Total Pages: 822

ISBN-13: 9780819445063

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"This self-study text for practicing engineers and scientists explains the mathematical tools that are required for advanced technological applications, but are often not covered in undergraduate school. The authors (University of Central Florida) describe special functions, matrix methods, vector operations, the transformation laws of tensors, the analytic functions of a complex variable, integral transforms, partial differential equations, probability theory, and random processes. The book could also serve as a supplemental graduate text."--Memento.


Mathematical Methods for Engineers and Scientists 2

Mathematical Methods for Engineers and Scientists 2

Author: Kwong-Tin Tang

Publisher: Springer Science & Business Media

Published: 2006-11-30

Total Pages: 345

ISBN-13: 3540302689

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Pedagogical insights gained through 30 years of teaching applied mathematics led the author to write this set of student-oriented books. Topics such as complex analysis, matrix theory, vector and tensor analysis, Fourier analysis, integral transforms, ordinary and partial differential equations are presented in a discursive style that is readable and easy to follow. Numerous clearly stated, completely worked out examples together with carefully selected problem sets with answers are used to enhance students' understanding and manipulative skill. The goal is to help students feel comfortable and confident in using advanced mathematical tools in junior, senior, and beginning graduate courses.


Matrix Analysis for Scientists and Engineers

Matrix Analysis for Scientists and Engineers

Author: Alan J. Laub

Publisher: SIAM

Published: 2005-01-01

Total Pages: 159

ISBN-13: 0898715768

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"Prerequisites for using this text are knowledge of calculus and some previous exposure to matrices and linear algebra, including, for example, a basic knowledge of determinants, singularity of matrices, eigenvalues and eigenvectors, and positive definite matrices. There are exercises at the end of each chapter."--BOOK JACKET.


Mathematical Methods for Engineers and Scientists 1

Mathematical Methods for Engineers and Scientists 1

Author: Kwong-Tin Tang

Publisher: Springer Science & Business Media

Published: 2006-11-10

Total Pages: 327

ISBN-13: 3540302735

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The topics of this set of student-oriented books are presented in a discursive style that is readable and easy to follow. Numerous clearly stated, completely worked out examples together with carefully selected problem sets with answers are used to enhance students' understanding and manipulative skill. The goal is to help students feel comfortable and confident in using advanced mathematical tools in junior, senior, and beginning graduate courses.


Matrix Methods

Matrix Methods

Author: Richard Bronson

Publisher: Academic Press

Published: 2008-09-04

Total Pages: 433

ISBN-13: 0080922252

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Matrix Methods: Applied Linear Algebra, Third Edition, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is the essence of linear algebra and is what is used to help physical scientists; chemists, physicists, engineers, statisticians, and economists solve real world problems. - Applications like Markov chains, graph theory and Leontief Models are placed in early chapters - Readability- The prerequisite for most of the material is a firm understanding of algebra - New chapters on Linear Programming and Markov Chains - Appendix referencing the use of technology, with special emphasis on computer algebra systems (CAS) MATLAB


Design Structure Matrix Methods and Applications

Design Structure Matrix Methods and Applications

Author: Steven D. Eppinger

Publisher: MIT Press

Published: 2012-05-25

Total Pages: 347

ISBN-13: 0262300656

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An introduction to a powerful and flexible network modeling tool for developing and understanding complex systems, with many examples from a range of industries. Design structure matrix (DSM) is a straightforward and flexible modeling technique that can be used for designing, developing, and managing complex systems. DSM offers network modeling tools that represent the elements of a system and their interactions, thereby highlighting the system's architecture (or designed structure). Its advantages include compact format, visual nature, intuitive representation, powerful analytical capacity, and flexibility. Used primarily so far in the area of engineering management, DSM is increasingly being applied to complex issues in health care management, financial systems, public policy, natural sciences, and social systems. This book offers a clear and concise explanation of DSM methods for practitioners and researchers.


Numerical Methods for Engineers and Scientists Using MATLAB®

Numerical Methods for Engineers and Scientists Using MATLAB®

Author: Ramin S. Esfandiari

Publisher: CRC Press

Published: 2017-04-25

Total Pages: 471

ISBN-13: 1498777449

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This book provides a pragmatic, methodical and easy-to-follow presentation of numerical methods and their effective implementation using MATLAB, which is introduced at the outset. The author introduces techniques for solving equations of a single variable and systems of equations, followed by curve fitting and interpolation of data. The book also provides detailed coverage of numerical differentiation and integration, as well as numerical solutions of initial-value and boundary-value problems. The author then presents the numerical solution of the matrix eigenvalue problem, which entails approximation of a few or all eigenvalues of a matrix. The last chapter is devoted to numerical solutions of partial differential equations that arise in engineering and science. Each method is accompanied by at least one fully worked-out example showing essential details involved in preliminary hand calculations, as well as computations in MATLAB.