@book {MATHEDUC.05816788,
author = {Jeffrey, Alan},
title = {Matrix operations for engineers and scientists. An essential guide in linear algebra.},
year = {2010},
isbn = {978-90-481-9273-1},
pages = {xi, 314~p.},
publisher = {Dordrecht: Springer},
doi = {10.1007/978-90-481-9274-8},
abstract = {This book meets the needs of engineers and scientists for an introduction to linear algebra in a context they understand. It provides a very detailed treatment of the theory of matrices and also includes several more specialized but important topics such as the technique of least-squares fitting of polynomials to experimental data, the way matrices enter into a finite difference approximation for the numerical solution of the Laplace equation, and the solution of systems of linear ordinary differential equations including the Laplace transform and the matrix exponential. The chapter headings are: 1. Matrices and systems of linear equations, 2. Determinants and linear independence, 3. Matrix multiplication, the inverse matrix and partitioning, 4. Systems of linear algebraic equations, 5. Eigenvalues, eigenvectors, diagonalization, similarity, Jordan normal forms, and estimating regions containing eigenvalues, 6. Systems of linear differential equations, 7. An introduction to vector spaces, 8. Linear transformations and the geometry of the plane. The purpose of Chapters 7 and 8 is to cast the acquired knowledge of vectors and matrices in the more formal language of vector space theory in order to make matrix applications expressed in this form accessible to engineers and scientists. There are numerous worked examples throughout the book and sets of exercises are provided at the end of each chapter, with all the solutions given at the end of the book. A special effort is made to keep all numerical calculations simple.},
reviewer = {Rabe von Randow (Bonn)},
msc2010 = {H65xx (G75xx)},
identifier = {2014b.00605},
}