Linear Algebra

A working understanding of linear algebra — vectors, matrices, eigenvalues, and the decompositions that power modern data, graphics, and AI. The trunk gives you the geometric and algebraic core; clusters dive into vector spaces, systems and rank, eigentheory, orthogonality and projections, applications, and numerical computation.