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Numerical linear algebra course, AI Masters, Fall 2024

Date Lectures Practice sessions Home assignments
09.09.2024 General info about the course. Floating point numbers.
16.09.2024 Vector norms, compressed sensing problem, and algorithms stability
23.09.2024 Matrix norms and unitary matrices Project presentation slides template
30.09.2024 Matrix rank. Low-rank matrix approximation and Singular Value Decomposition (SVD) Home assignment 1
Deadline: October 20, 23:59 MSK
07.10.2024 Matrix multiplication and BLAS
14.10.2024 Strassen algorithm and intro to Gaussian elimination
21.10.2024 LU with pivoting. Condition number.
28.10.2024 QR decomposition Discussion of project proposals
04.11.2024 Official holiday
11.11.2024
18.11.2024
25.11.2024
02.12.2024
09.12.2024
16.12.2024 Projects presentations

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Numerical linear algebra course, AI Masters, Fall 2024

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