Logo

Matrix Algebra by Marco Taboga

Large book cover: Matrix Algebra

Matrix Algebra
by

Publisher: StatLect
Number of pages: 320

Description:
This book is a collection of 98 short and self-contained lectures on some of the most important topics in linear algebra. There are hundreds of examples, solved exercises and detailed derivations of important results. The step-by-step approach makes the book easy to understand and ideal for self-study. One of the main aims of the book is to be a time saver: proofs are never left to the reader; all the exercises are fully solved; useful concepts from previous chapters are systematically referenced; the reader is always shown how to do the tedious algebra.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: Introduction to BimatricesIntroduction to Bimatrices
by - arXiv
This book introduces the concept of bimatrices, and studies several notions like bieigen values, bieigen vectors, characteristic bipolynomials, bitransformations, bioperators and bidiagonalization. The concepts of fuzzy bimatrices is introduced.
(12908 views)
Book cover: Introduction to Matrix AlgebraIntroduction to Matrix Algebra
by - University of South Florida
This book is written primarily for students who are at freshman level or do not take a full course in Linear/Matrix Algebra, or wanting a contemporary and applied approach to Matrix Algebra. Eight chapters of the book are available for free.
(20568 views)
Book cover: Natural Product Xn on matricesNatural Product Xn on matrices
by - arXiv
The authors introduce a new type of product on matrices called the natural product Xn - an extension of product in the case or row matrices of the same order. When two matrices of same order can be added, nothing prevents one from multiplying them.
(10194 views)
Book cover: The Matrix CookbookThe Matrix Cookbook
by
The Matrix Cookbook is a free desktop reference on matrix identities, inequalities, approximations and relations useful for different fields such as machine learning, statistics, quantum mechanics, engeneering, chemistry.
(18796 views)