Introduction to Linear Algebra

Emphasizing the foundational concepts of linear algebra, this sixth edition introduces key ideas like independent columns and matrix rank early on. The book covers classical topics such as linear equations, fundamental subspaces, and eigenvalues, focusing on matrix factorization to clarify these concepts. The final chapters address optimization and data learning, reflecting current applications of linear algebra. Written in Gilbert Strang's clear and engaging style, it aims to inspire and educate future learners in quantitative fields.