Elementary Linear Algebra, Application Version, International Adaptation, Revised Edition by Howard Anton, Chris Rorres and Anton Kaul is an English-language textbook on linear algebra. This reference work is aimed at students in higher education who seek a thorough introduction to the fundamental concepts of linear algebra.
The book offers a clear and well-organized treatment of elementary linear algebra with an emphasis on applications. In addition to the classic theory, this edition includes recently added sections on applications in data science, machine learning, climate sciences, and biological modeling. New exercises have also been added to strengthen the introduction to linear transformations. Calculus is not required; there are optional examples and exercises for students with prior knowledge.
This title aligns with the fields of Algebra and Linear Algebra and is relevant for degree programs in mathematics and technical sciences. The book is suitable as a textbook for an introductory course in linear algebra and is appreciated for its clear presentation and practical approach.