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] Lecture 1. Floating point arithmetic, vector norms [GitHub] Lecture 2. Matrix norms and unitary matrices [GitHub] Lecture 3. Matvecs and matmuls, memory hierarchy, Strassen algorithm [GitHub] |
Brief Python intro JAX intro |
Home assignment 1 Deadline: November, 8, 23:59 MSK |
|
| 2 | Lecture 4. Matrix rank, low-rank approximation, SVD [GitHub] Lecture 5. Linear systems [Github] Lecture 6. Eigenvalues and eigenvectors [GitHub] |
PyTorch intro |