|Statement||[by] Hans Schneider [and] George Phillip Barker.|
|Contributions||Barker, George Phillip, joint author.|
|LC Classifications||QA251 .S3 1973|
|The Physical Object|
|Pagination||xi, 413 p.|
|Number of Pages||413|
|LC Control Number||72085179|
A common problem with texts in linear algebra, which this book faces, is whether to consider vectors or matrices, or both. This book switches back and forth. While there seems to be no good way to handle this, and this book takes the standard (traditional) approach, 4/5(1). This book can be thought of as a very pure-math version of linear algebra, with no applications and hardly any work on matrices, determinants, or systems of linear equations. Instead it focuses on linear operators, primarily in finite-dimensional spaces but in many cases for general vector spaces. Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares Stephen Boyd and Lieven Vandenberghe Cambridge University Press. This book is used as the textbook for the course EE (Stanford) and EEA (UCLA), where you will find additional related material. The book covers less mathematics than a typical text on applied linear algebra. We use only one theoretical concept from linear algebra, linear independence, and only one computational tool, the QR factorization; our approach to most applica- tions relies on only .
Linear Algebra, Theory And Applications This is a book on linear algebra and matrix theory. It provides an introduction to various numerical methods used in linear algebra. This is done because of the interesting nature of these methods. ThematerialisstandardinthatthesubjectscoveredareGaussianreduction, vector spaces, linear maps, determinants, and eigenvalues and eigenvectors. Another standard is book’s audience: sophomores or juniors, usually with a background of at least one semester of calculus. Many new examples have been added to illustrate the key ideas of linear algebra. New topics covered in the book include product spaces, quotient spaces, and dual spaces. Beautiful new formatting creates pages with an unusually pleasant appearance in both print and electronic versions. the book is written in an informal style and has many elementary examples, the propositions and theorems are generally carefully proved, and the inter- linear algebra: matrices, linear systems, Gaussian elimination, inverses of matrices and the LDU decomposition. In .
Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows:Brand: Springer International Publishing. MATRICES AND LINEAR ALGEBRA (2) Since (A −AT)T = AT −A = −(A −AT), it follows that A −AT is skew-symmetric. (3) Let A = B +C be a second such decomposition. Subtraction gives 1 2 (A+AT)−B = C − 1 2 (A−AT). The left matrix is symmetric while the right matrix is skew-symmetric. By Carl D. Meyer. Full text in PDF with errata, updates and solutions. There is a HUGE amount of Linear Algebra books. Let me point out just two: Noble, Daniel, Applied Linear Algebra. Prentice Hall. Lancaster, Tismenetsky, The Theory of Matrices. Academic Press. I would suggest the first one for a beginner and later on you can take a look at the second one. Enjoy!