Fundamentals of Linear Algebra

Covers systems of equations, vectors, matrices, determinants, eigenvalues, and linear transformations with detailed examples and exercises. Ideal for building a strong foundation in linear algebra.

Robert A. Beezer

A well-structured introduction to linear algebra for science and engineering students. Covers all major topics with proofs of important theorems and numerous exercises.

Ken Kuttler

An engaging undergraduate textbook that starts with organizing information and builds through systems of equations, vector spaces, eigenvalues, and the simplex method.

David Cherney, Tom Denton, Rohit Thomas, Andrew Waldron

Concise lecture notes covering vectors, matrices, elimination, factorization, orthogonality, determinants, and eigenvalues. Includes Python exercises for computational practice.

Janis Lazovskis