Logo

Linear Algebra: A Course for Physicists and Engineers

Large book cover: Linear Algebra: A Course for Physicists and Engineers

Linear Algebra: A Course for Physicists and Engineers
by

Publisher: De Gruyter Open
ISBN-13: 9783110562507
Number of pages: 450

Description:
In order not to intimidate students by a too abstract approach, this textbook on linear algebra is written to be easy to digest by non-mathematicians. It introduces the concepts of vector spaces and mappings between them without dwelling on statements such as theorems and proofs too much. It is also designed to be self-contained, so no other material is required for an understanding of the topics covered.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Linear Algebra: CourseLinear Algebra: Course
by - Intelligent Perception
This is a textbook for a one-semester course in linear algebra and vector spaces. An emphasis is made on the coordinate free analysis. The course mimics in some ways a modern algebra course. Calculus is a prerequisite for the course.
(2343 views)
Book cover: Linear Algebra: An Introduction to Mathematical DiscourseLinear Algebra: An Introduction to Mathematical Discourse
- Wikibooks
The book was designed specifically for students who had not previously been exposed to mathematics as mathematicians view it. That is, as a subject whose goal is to rigorously prove theorems starting from clear consistent definitions.
(7146 views)
Book cover: Calculus and Linear Algebra. Vol. 2Calculus and Linear Algebra. Vol. 2
by - University of Michigan Library
In the second volume of Calculus and Linear Algebra, the concept of linear algebra is further developed and applied to geometry, many-variable calculus, and differential equations. This volume introduces many novel ideas and proofs.
(3467 views)
Book cover: Elementary Linear AlgebraElementary Linear Algebra
by - University of Queensland
This an introduction to linear algebra with solutions to all exercises. It covers linear equations, matrices, subspaces, determinants, complex numbers, eigenvalues and eigenvectors, identifying second degree equations, three–dimensional geometry.
(10877 views)