Linear algebra from a numerical solution perspective.Singular Value Decomposition, matrix factorizations, linear least squares, Gram-Schmidt orthogonalization, conditioning and stability, eigenanalysis, Krylov subspace methods and reconditioning, and optimization and conjugate gradient methods.