Vector spaces. Linear transformations. Inner product spaces, projections on to subspaces. Least squares. Eigenvalues and eigenvectors. Diagonalisation and Jordan forms. Complex vector spaces. Singular value decomposition and the pseudoniverse. Systems of linear differential equations. -- Course Website
Prerequisites: 7063 (v.6)<br/> Mathematics 102<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> OR<br/><br/> <br/> 7492 (v.5)<br/> Mathematics 104<br/> <br/> or any previous version<br/> <br/> <br/><br/> <br/> OR<br/><br/> <br/> 307538 (v.3)<br/> Engineeri
