Logo

Basic Linear Algebra by Andrew Baker

Basic Linear Algebra
by

Publisher: University of Glasgow
Number of pages: 73

Description:
Linear Algebra is one of the most important basic areas in Mathematics, having at least as great an impact as Calculus, and indeed it provides a significant part of the machinery required to generalise Calculus to vector-valued functions of many variables. These notes were originally written for a course at the University of Glasgow in the years 2006-7. They cover basic ideas and techniques of Linear Algebra that are applicable in many subjects including the physical and chemical sciences, statistics as well as other parts of mathematics.

Home page url

Download or read it online for free here:
Download link
(400KB, PDF)

Similar books

Book cover: Linear Algebra: Foundations to FrontiersLinear Algebra: Foundations to Frontiers
by - ulaff.net
This document is a resource that integrates a text, videos, and hands-on activities. It connects hand calculations, mathematical abstractions, and computer programming. It encourages you to develop the theory of linear algebra by posing questions.
(2225 views)
Book cover: Course of Linear Algebra and Multidimensional GeometryCourse of Linear Algebra and Multidimensional Geometry
by - Samizdat Press
This is a textbook of multidimensional geometry and linear algebra for the first year students. It covers linear vector spaces and linear mappings, linear operators, dual space, bilinear and quadratic forms, Euclidean spaces, Affine spaces.
(10754 views)
Book cover: Linear Algebra for InformaticsLinear Algebra for Informatics
by - The University of Edinburgh
These are the lecture notes and tutorial problems for the Linear Algebra module. The text is divided into three parts: (1) real vector spaces and their linear maps; (2) univariate polynomials; (3) introduction to algebraic coding theory.
(7886 views)
Book cover: Linear AlgebraLinear Algebra
by - Macquarie University
Linear equations, matrices, determinants, vectors, vector spaces, eigenvalues and eigenvectors, linear transformations, real inner product spaces, orthogonal matrices, applications of real inner product spaces, complex vector spaces.
(10532 views)