A sudent will get basic knowledge of linear and multilinear algebra and their applications in modern information technology.

## Literature

N. Halko, P. G. Martinsson, J. A. Tropp: Finding Structure with Randomness:

Probabilistic Algorithms for Constructing Approximate Matrix Decompositions,

SIAM REVIEW, Vol. 53, No. 2, (2011)217–288

Matrix Analysis for Scientists and Engineers

by Alan J. Laub, SIAM, Philadelphia

Alan J. Laub, Matrix Analysis for Scientists and Engineers, SIAM, Philadelphia, 2005

## Advised literature

Tamara G. Kolda, Brett W. Bader. Tensor Decompositions and Applications, SIAM Review, Vol. 51, No. 3, (2009)455–500

Carl D. Meyer, Matrix analysis and applied linear algebra, SIAM, Philadelphia, 2000

Dianne P. O'Leary, Scientific Computing with Case Studies, SIAM, Philadelphia 2009