Course: Mathematical Physics, Statistics and Estimation Theory

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Course title Mathematical Physics, Statistics and Estimation Theory
Course code OPT/SZZN2
Organizational form of instruction no contact
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 0
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Fiurášek Jaromír, prof. Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Courant, R., & Hilbert, D. (1966). Methods of mathematical physics. Interscience Publishers: New York.
  • Čihák, P. a kol. (2003). Matematická analýza pro fyziky (V). Praha.
  • Franců, J. (2003). Parciální diferenciální rovnice. Brno: CERM.
  • Frieden, B. R. (2001). Probability, statistical optics, and data testing: a problem solving approach. Berlin: Springer-Verlag.
  • Helstrom, C. W. (1976). Quantum detection and estimation theory. New York: Academic Press.
  • J. Nocedal, S.J. Wright. (1999). Numerical Optimization. Sringer-Verlag, New York, Berlin.
  • J.E. Dennis, R. B. Schnabel. (1983). Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Prentice-Hall Englewood Cliffs N.J.
  • Loudon, R. (2000). The quantum theory of light. Oxford: Oxford University Press.
  • Paris, M. G. A., Řeháček, J. (2004). Quantum state estimation. Springer.
  • Peřina, J. (1991). Quantum statistics of linear and nonlinear optical phenomena. Dordrecht: Kluwer.
  • S. Míka. (1997). Matematická optimalizace. FAV ZČU, Plzeň.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2019) Category: Physics courses 2 Recommended year of study:2, Recommended semester: Summer