Numerical Methods of Computational Physics II - NEVF529
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Numerical methods - advanced techniques. Fast Fourier transform. Introduction to mathematical statistics and theory of probability. Designated for doctoral and master study.
Last update: T_KEVF (16.05.2005)
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Students will learn basic numerical algorithms (see annotation and syllabus). Last update: IBARVIK/MFF.CUNI.CZ (16.05.2008)
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Successful passing of the exam is a condition for completing the course. Last update: Barvík Ivan, RNDr., Ph.D. (30.10.2019)
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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. Last update: T_KEVF (05.05.2010)
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Lectures and practical exercises in computer lab Last update: IBARVIK/MFF.CUNI.CZ (16.05.2008)
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Zkouška je ústní a student dostává otázky dle sylabu předmětu v rozsahu, který byl prezentován na přednáškách. Last update: Pavlů Jiří, doc. RNDr., Ph.D. (14.06.2019)
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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. Last update: T_KEVF (16.05.2005)
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