<p>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.
Matrix operations for engineers and scientists: An essential guide in linear algebra
โ Scribed by Alan Jeffrey (auth.)
- Publisher
- Springer Netherlands
- Year
- 2010
- Tongue
- English
- Leaves
- 327
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 Univesity of Newcastle upon Tyne. He has given courses on engineering mathematics in UK and US Universities.
โฆ Table of Contents
Front Matter....Pages i-xi
Matrices and Linear Systems of Equations....Pages 1-11
Determinants, and Linear Independence....Pages 13-34
Matrix Multiplication, the Inverse Matrix and Partitioning....Pages 35-74
Systems of Linear Algebraic Equations....Pages 75-99
Eigenvalues, Eigenvectors, Diagonalization, Similarity, Jordan Normal Forms, and Estimating Regions Containing Eigenvalues....Pages 101-158
Systems of Linear Differential Equations....Pages 159-205
An Introduction to Vector Spaces....Pages 207-237
Linear Transformations and the Geometry of the Plane....Pages 239-272
Back Matter....Pages 273-314
โฆ Subjects
Mathematical Methods in Physics;Appl.Mathematics/Computational Methods of Engineering;Linear and Multilinear Algebras, Matrix Theory;Ordinary Differential Equations
๐ SIMILAR VOLUMES
Designed for advanced engineering, physical science, and applied mathematics students, this innovative textbook is an introduction to both the theory and practical application of linear algebra and functional analysis. The book is self-contained, beginning with elementary principles, basic concepts,
"Linear algebra and the study of matrix algorithms have become fundamental to the development of statistical models. Using a vector-space approach, this book provides an understanding of the major concepts that underlie linear algebra and matrix analysis. Each chapter introduces a key topic, such as