Applied Linear Algebra

MATH 432

This is a applied course in linear algebra, and we will focus on proofs and applications of computational methods. Topics will include matrix algebra, inverses, QR and LU decomposition, vector spaces, distance and norms, inner products, projection and g-s, linear transformations, perturbed matrices, eigenvalues and eigenvectors, similarity, Schur form and normal matrices, singular value decomposition, Jordan form, etc.