Syllabus
* 1. Numerical methods
Advanced techniques for problem solution in numerical mathematics.
* 2. Integral transforms
Fourier series and Fourier transf. Fast Fourier transform. Other integral transforms.
* 3. Basics of theory of probability and methematical statistics
Random variables. Moments of random variables. Selected random variables. Most important laws of the theory of probability and mathematical statistics. Statistical testing of hypotheses. Entrophy. Aplication of theory of probability in computational physics.
Annotation
Numerical methods - advanced techniques. Fast Fourier transform.
Introduction to mathematical statistics and theory of probability. Designated for doctoral and master study.