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courses
- NMNM331:
Analysis of Matrix Computations, 2/2, winter
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Total least squares problem, Conjugate gradient method, Krylov subspace methods, Matrix functions, Fast Fourier transform, Nonngative matrices, Finite precision computatuions.
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- NMNV503:
Numerical Optimization Methods, 3/1, winter
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Part 1 (Vaclav Kucera): Solution of nonlinear equations and their system, Newton's method and it modifications. Part 2 (Petr Tichy): The minimization of functionals, line-search and trust-region methods.
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- NMNM337:
Approximation of functions, 2/2,
summer
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Approximation problems, best approximation.
Polynomial approximation using Chebfun, interpolation, minimax,
the exchange algorithm, least squares approximation,
convergence.
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- NMNV545:
Constrained optimization, 2/0, summer
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Theory of constrained optimization. Linear and semidefinite programming. Fundamentals of algorithms for nonlinear optimization: Penalty and barrier methods, Augmented Lagrangian method, Primal-dual methods.
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supervisor - master theses
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Metoda sdružených gradientů pro diferenciální operátory,
MFF UK, 2025.
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The Lanczos method in finite precision arithmetic,
MFF UK, 2019.
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Optimization using derivative-free and metaheuristic methods,
MFF UK, 2016.
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Chovani metody sdruzenych gradientu v konecne aritmetice,
FAV ZCU, 2012.
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Odhady normy chyby v metode sdruzenych gradientu,
FAV ZCU, 2012.
supervisor - bachelor theses
- Remezův algoritmus, MFF UK, 2025.
- Metoda Vandermonde with Arnoldi, MFF UK, 2025.
- Gaussova a Clenshaw-Curtisova kvadratura, MFF UK, 2025.
- Numerický výpočet derivací, MFF UK, 2024.
- Numerické srovnání algoritmů CGLS a LSQR, MFF UK, 2024.
- Výpočet kořenů polynomů pomocí přidružených matic, MFF UK, 2023.
- Computations of Google's PageRank, MFF UK, 2022.
- Vyber delky kroku v metodach spadovych smeru, MFF UK, 2018.
- Volba kroku v metodach s lokalne omezenym krokem, MFF UK, 2017.
- Pole hodnot matice: Teorie a vypocet, MFF UK, 2016.
- Numericke pocitani s funkcemi pomoci Chebfun, MFF UK, 2015.
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