Vector spaces, linear transformations. Determinants, eigenvalue problems. Inner products, symmetric matrices, quadratic forms. Jacobi iteration, Gauss-Seidel iteration, least squares approximation, power method. Applications to coding, computer graphics, geometry, dynamical systems, Markov chains, differential equations. -- Course Website
Instructor: Dr Tim Garoni
Prerequisites: MAT1841, MTH1030, MTH1035, or equivalent
