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  1. nla2015
  2. table_of_contents.ipynb

Table of contents¶

Course instructor: Ivan Oseledes

TAs: Maxim Rakhuba, Evgeny Frolov, Alexander Fonarev, Daria Sushnikova, Denis Kolesnikov

List of projects: Link

Week Classes Homework Tests
1 Course Syllabus,
Python Crash Course,
Lecture 1 (PCA, ICA demos)
Problem set 1
Lecture 2 (Floating point, Vector norms, Stability),
IPython Intro
Lecture 3.1 (Matrix multiplication part 1),
Lecture 3.2 (Matrix norms, Scalar product, Unitary matrices),
Python Intro
2 Lecture 4 (Matrix-by-vector multiplication, FFT, fast convolution) Problem set 2
Lecture 5 (Matrix multiplication part 2: Strassen)
Practice (Circulant matrix example)
Practice session
3 Lecture 6 (Ranks, SVD) Problem set 3
Lecture 7 (Linear systems)
Lecture 8 (Eigenvalues & eigenvectors)
4 Lecture 9 (Matrix factorizations)
Lecture 10 (Algorithms for eigenvalue problems, SVD) Mid-term test
Lecture 11 (Sparse matrices-1)
5 Lecture 12 (Iterative methods) Problem set 4
Lecture 13 (Iterative method-2)
6
7 Ping-pong test
8 Application period
In [ ]:
 

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