Linear algebra
General information
- Lecturers:
- Classes:
- Lecture 1 (Ivan Markovsky)
- linear functions and linearization
- inverse matrix, least-squares and least-norm solutions
- subspaces, basis, and dimension
- change of basis and similarity transformations
- orthogonality, Gram-Schmidt, and QR factorization
- Lecture 2 (Emanuele Garone)
- eigenvalues and eigenvectors
- eigenvalue decomposition
- Jordan canonical form
- singular value decomposition
- conditioning of a problem
- Exercise session (Antonio Fazzi and Emanuele Garone)
- analytical problems + Matlab exercises