Basic materials are available on LMS MOODLE.
Consultation through MS Teams.
Linear Algebra
| Type of study | Bachelor |
|---|---|
| Language of instruction | Czech |
| Code | 470-2201/01 |
| Abbreviation | LA1 |
| Course title | Linear Algebra |
| Credits | 4 |
| Coordinating department | Department of Applied Mathematics |
| Course coordinator | prof. RNDr. René Kalus, Ph.D. |
Osnova předmětu
Systems of linear algebraic equations (SLAE)
Matrix calculus
Linear vector spaces (LVS)
Solvability of SLAE
Linear mappings of LVS
Linear, bilinear(, and multilinear) forms
Quadratic forms
Determinants
Scalar product, orthogonality of vectors
Orthogonal projections
Spectral analysis of square matrices
Matrix calculus
Linear vector spaces (LVS)
Solvability of SLAE
Linear mappings of LVS
Linear, bilinear(, and multilinear) forms
Quadratic forms
Determinants
Scalar product, orthogonality of vectors
Orthogonal projections
Spectral analysis of square matrices
E-learning
Povinná literatura
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.
R.A. Horn, C.R. Johnson, Matrix Analysis. Cambridge University Press 1990.
Y. Saad. Iterative Methods for Sparse Linear Systems. SIAM 2003.
Doporučená literatura
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.
L.N. Trefethen, D. Bau. Numerical Linear Algebra. SIAM 1997.
J. Liesen, Z. Strakoš, Krylov Subspace Methods: Principles and Analysis. Oxford University Press 2012.