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Numerical Methods of Computational Physics II - NEVF529

Title:	Numerické metody počítačové fyziky II
Guaranteed by:	Department of Surface and Plasma Science (32-KFPP)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2021
Semester:	summer
E-Credits:	6
Hours per week, examination:	summer s.:2/2, Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech, English
Teaching methods:	full-time
Teaching methods:	full-time

Guarantor:	RNDr. Ivan Barvík, Ph.D.
Class:	DS, matematické a počítačové modelování
Classification:	Physics > Surface Physics and P. of Ion.M.
Is interchangeable with:	NEVF512

Opinion survey results Examination dates SS schedule Noticeboard

Annotation -

Last update: T_KEVF (16.05.2005)

Numerical methods - advanced techniques. Fast Fourier transform. Introduction to mathematical statistics and theory of probability. Designated for doctoral and master study.

Aim of the course -

Last update: IBARVIK/MFF.CUNI.CZ (16.05.2008)

Students will learn basic numerical algorithms (see annotation and syllabus).

Course completion requirements -

Last update: RNDr. Ivan Barvík, Ph.D. (30.10.2019)

Successful passing of the exam is a condition for completing the course.

Literature -

Last update: T_KEVF (05.05.2010)

Ralston A.: Základy numerické matematiky, Academia, Praha 1978.

Press W.H. et al.: Numerical Recipes in FORTRAN (Pascal, C), Cambridge University Press,

Cambridge 1992.

Vicher M.: Numerická matematika, skripta, PF UJEP, Ústí nad Labem 2003.

Teaching methods -

Last update: IBARVIK/MFF.CUNI.CZ (16.05.2008)

Lectures and practical exercises in computer lab

Requirements to the exam - Czech

Last update: doc. RNDr. Jiří Pavlů, Ph.D. (14.06.2019)

Zkouška je ústní a student dostává otázky dle sylabu předmětu v rozsahu, který byl prezentován na přednáškách.

Syllabus -

Last update: T_KEVF (16.05.2005)

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.