Applied Linear Algebra

Catalog description

An application-driven course, whose topics may include the four fundamental subspaces, inner products, orthogonality, diagonalization, and complex matrices. Applications may include factorization, least squares, data compression, singular value decomposition, and discrete Fourier transform.