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Last update: T_KA (23.05.2003)
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Last update: T_KA (23.05.2003)
J. Bečvář, Vektorové prostory I, II, III, SPN Praha 1978, 1981, 1982
L. Bican, Lineární algebra a geometrie, Academia Praha 2000, ISBN 80-200-0843-8
L. Bican, Lineární algebra v úlohách, SPN Praha 1979
C. D. Meyer: Matrix Analysis and Applied Linear Algebra, SIAM 2000.
J. Tůma: Internetová skripta k přednášce Lineární algebra, http://adela.karlin.mff.cuni.cz/~tuma/linalg.htm . |
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Last update: T_KA (19.05.2005)
1. Introduction to theory of linear codes. Generator and check matrix, weight and Hamming distance.
2. Bilinear and quadratic forms. Symmetric and antisymmetric bilinear forms, nullity, range, polar basis, Sylvester's law of inertia.
3. Inner product on real and complex vector spaces. Orthogonality, orthogonal complement, orthogonal and orthonormal basis, classical and modified Gram-Schmidt orthogonalization procedure, orthogonal matrix, unitary transformation, method of least squares.
4. Eigenvalues and eigenvectors. Eigenvalues and eigenvectors of a matrix and of a linear transformation, geometric interpretation and applications.
5. Decomposition of matrices. LU, QR, URV and SVD factorization. Cholesky factorization of a symmetric matrix.
6. Pseudoinverse matrices. Moore-Penrose pseudoinverse matrices.
7. Similarity of matrices and Jordan form of a matrix. Jordan block, existence and unicity of Jordan form.
8. Perron-Frobenius theory of non-negative matrices. Perron vector, primitive and stochastic matrices.
9. Analytic geometry in Euklidian spaces and affine spaces. Cartesian system of coordinates, angle, distance, subspaces and description of an affine space, relative position of subspaces. |