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Skolkovo Institute of Science and Technology

Classes: Monday, Tuesday, Thursday 9.00 - 12.00, B2-3006 - B2-3007

nla

Summary

This is one term course, which provides Skoltech students with basic numerical linear algebra algorithms and ideas. Numerical linear algebra is the basis for computational science, engineering and data science while matrices and their decompositions are the key. The tools are different for small-scale and large-scale problems. We hope, that students after the course will be able to:

  1. Solve medium-scale numerical linear algebra problems (solve linear systems, compute eigenvalues and eigenvectors, solve linear least squares) using matrix factorizations
  2. Implement iterative methods for sparse/structured systems
  3. Find which methods are the most appropriate for the particular problem
  4. Find appropriate software

Course Materials

If you have difficulties with basic linear algebra:

Comprehensive NLA books:

Many applications of linear algebra you can find in "Introduction to Applied Linear Algebra" by S. Boyd and L. Vandenberghe

Instructor:

ivan

Prof. Ivan Oseledets

Assistants:

Alexander
Katrutsa

Anna
Rudenko

Daniil
Merkulov

Daria
Cherniuk

Egor
Sevriugov

Gleb
Mezentsev

Talgat
Daulbaev