Linear Algebra: A Course for Physicists and Engineers
by Arak Mathai, Hans J. Haubold
Publisher: De Gruyter Open 2017
Number of pages: 450
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.
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by Stephen Boyd, Lieven Vandenberghe - 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.
by Peter Saveliev - 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.
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.
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