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Linear Algebra

Linear Algebra
470-2201/02
čeština Linear Algebra
470-2201/01
čeština Linear Algebra
470-2201/03
angličtina

Summary

Linear algebra is a basic tool of formulation and effective solution of technical problems. The students will get knowledge of basic concepts and computational skills of linear algebra.

Literature

G. Strang, Video lectures of Linear Algebra on MIT.
R.A. Horn, C.R. Johnson, Matrix Analysis. Cambridge University Press 1990.
Y. Saad. Iterative Methods for Sparse Linear Systems. SIAM 2003.

Advised literature

G.H. Golub, C.F. Van Loan, Matrix Computations. The Johns Hopkins University Press 2013.
L.N. Trefethen, D. Bau. Numerical Linear Algebra. SIAM 1997.
J. Liesen, Z. Strakoš, Krylov Subspace Methods: Principles and Analysis. Oxford University Press 2012.


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Language of instruction čeština, čeština, angličtina
Code 470-2201
Abbreviation LA1
Course title Linear Algebra
Coordinating department Department of Applied Mathematics
Course coordinator prof. RNDr. René Kalus, Ph.D.