Logo

Linear Algebra by David Cherney, Tom Denton, Andrew Waldron

Small book cover: Linear Algebra

Linear Algebra
by

Publisher: UC Davis
Number of pages: 410

Description:
This textbook is suitable for a sophomore level linear algebra course taught in about twenty-five lectures. It is designed both for engineering and science majors, but has enough abstraction to be useful for potential math majors. Our goal in writing it was to produce students who can perform computations with linear systems and also understand the concepts behind these computations.

Home page url

Download or read it online for free here:
Download link
(4.1MB, PDF)

Similar books

Book cover: Introduction to Applied Linear Algebra: Vectors, Matrices and Least SquaresIntroduction to Applied Linear Algebra: Vectors, Matrices and Least Squares
by - Cambridge University Press
This groundbreaking textbook covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, data science, machine learning, signal processing, tomography, navigation, control, etc.
(782 views)
Book cover: Linear AlgebraLinear Algebra
by - University College Cork
These notes are drawn from lectures given for a first year introduction to linear algebra. The prerequisites for this course are arithmetic and elementary algebra, and some comfort and facility with proofs, particularly using mathematical induction.
(3652 views)
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.
(2652 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.
(8237 views)