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Numerical Methods with Matlab

Type of study Bachelor
Language of instruction English
Code 470-2502/02
Abbreviation NMM
Course title Numerical Methods with Matlab
Credits 4
Coordinating department Department of Applied Mathematics
Course coordinator doc. Ing. Dalibor Lukáš, Ph.D.

Subject syllabus

Topics:

1. Introduction to Matlab.
2. Data fiting - Lagrange and Chebyshev interpolation, least-square method, polygonal regression, fast Fourier
transform.
3. Numerical integration - Newton-Cotes, Gauss-Legendre, and Gauss-Hermite formula.
4. Iterative methods for nonlinear equations - bisection, fixed point iterations, Newton method.
5. Numerical solution of ordinary differential equations - one-step Euler and Crank-Nicholson methods, multi-step Runge-Kutta methods, predictor-corrector, Galerkin, and parareal methods.

Literature

Quarteroni A., Sacco R., Saleri F.: Numerical mathematics, Springer, 2007
Press, W.H., Flannery, B.P., Teukolski, S.A., Vetterling, W.T.: Numerical Recipes in C. Cambridge University Press, Cambridge 1990.

Advised literature

Quarteroni A., Sacco R., Saleri F.: Numerical mathematics, Springer, 2007
Press, W.H., Flannery, B.P., Teukolski, S.A., Vetterling, W.T.: Numerical Recipes in C. Cambridge University Press, Cambridge 1990.