Course instructor: Ivan Oseledets

TAs: Maxim Rakhuba, Marina Munkhoeva, Alexandr Katrutsa, Artem Nikitin, Valentin Khrulkov

Week	Classes	Homework	Tests
1	General info, Python Crash Course, Lecture 1 (Floating point, vector norms), Lecture 2 (Memory hierarchy, matrix multiplication, Strassen algorithm), Lecture 3 (Matrix norms, Unitary matrices, QR via Housholder and Givens)	Requirements, Problem set 1
2	Lecture 4 (Matrix rank, skeleton decomposition, SVD) Lecture 5 (LU decomposition, least squares problem)
3	Lecture 6 (Eigendecomposition, Power method, Schur decomposition) Lecture 7 (More about the QR decomp, QR algorithm) Lecture 8 (More about QR algorithm, eigendecomposition algorithms, SVD algorithms)	Problem set 2
4	Lecture 9 (Sparse linear algebra part 1) Lecture 10 (Sparse linear algebra part 2, Iterative methods part 1) Lecture 11 (Iterative methods part 2 (CG, GMRES))
5	Lecture 12 (More Krylov methods + preconditioning) Lecture 13 (Iterative methods for eigenvalues) Midterm test	Problem set 3	Midterm test rules
6	Lecture 14 (Structured matrices: circulants, Toeplitz matrices, Fourier transform) Lecture 15 (Matrix functions, matrix equations) Lecture 16 (Tensor decompositions)
7	Q&A before the exam Oral exam: Thursday list of students Oral exam: Friday list of students		List of exam questions, Basics
8	Friday: application period presentations
9	Reexamination



In [4]:

    
from IPython.core.display import HTML
def css_styling():
    styles = open("lectures/styles/custom.css", "r").read()
    return HTML(styles)
css_styling()









    Out[4]:

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