Course instructor: Ivan Oseledes
TAs: Maxim Rakhuba, Denis Kolesnikov, Evgeny Frolov
Week | Classes | Homework | Tests |
---|---|---|---|
1 | Course syllabus, Python intro | Problem set 1 | |
2 | Lecture 1, Matrices and vectors | Problem set 2 | |
Lecture 2, norms | |||
Lecture 3, matrix ranks | |||
3 | Lecture 4, Linear systems | Problem set 3 | |
Lecture 5, Eigenvalues and eigenvectors | |||
Lecture 6, Matrix decompositions | |||
4 | Lecture 7, SVD and low-rank approximation | Mid-term test Variant 1 Variant 2 | |
5 | Guest lecture | Problem set 4 | |
Lecture 8, Sparse matrices | |||
Lecture 9, Structured matrices | |||
6 | Lecture 10, Iterative methods | ||
Lecture 11, Matrix functions | |||
Homework seminar | |||
7 | Ping-pong test | ||
Final test | |||
Arrear day | |||
8 | Application period |
In [7]:
from IPython.core.display import HTML
def css_styling():
styles = open("./styles/custom.css", "r").read()
return HTML(styles)
css_styling()
Out[7]: