This repository contains lectures and homeworks for Numerical linear algebra course. It will be updated as the class progresses.
| Week | Lecture notebooks | Supplementary materials | Homework | Tests |
|---|---|---|---|---|
| 1 | General info [GitHub, Nbviewer] Lecture 1. Floating-point arithmetic, vector norms [GitHub, Nbviewer] Lecture 2. Matrix norms and unitary matrices [GitHub, Nbviewer] |
Python intro | Requirements Problem set 1 Deadline: 11/11/18 (23:59) |
Pre-term test |
| 2 | Lecture 3. Matvecs and matmuls, memory hierarchy, Strassen algorithm [GitHub, Nbviewer] Lecture 4. Matrix rank, low-rank approximation, SVD [GitHub, Nbviewer] Lecture 5. Linear systems [GitHub, Nbviewer] |
Notes on matrix calculus [GitHub, Nbviewer] | ||
| 3 | Lecture 6. Eigenvalues and eigenvectors [GitHub, Nbviewer] Lecture 7. Matrix decompositions and how we compute them [GitHub, Nbviewer] Lecture 8. Symmetric eigenvalue problem and SVD [GitHub, Nbviewer] |
Problem set 2 Deadline: 25/11/18 (23:59) |