Linear Algebra for Informatics
by José Figueroa-O'Farrill
Publisher: The University of Edinburgh 2005
Number of pages: 69
These are the lecture notes and tutorial problems for the Linear Algebra module in Mathematics for Informatics 3. The module is divided into three parts. During the first part we will study real vector spaces and their linear maps. The second part will be devoted to univariate polynomials. The third and final part will serve as an introduction to algebraic coding theory, concentrating for definiteness on binary linear codes.
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by David Cherney, Tom Denton, Andrew Waldron - UC Davis
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.
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.
by Sergei Treil
This book covers a first course of linear algebra, it introduces mathematically advanced students to rigorous proof and formal definitions. The author of the text tried to emphasize topics important for analysis, geometry and probability.