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MN-GM-MATHMET-I

Module title/ IDMathematische Methoden der Geophysik und Meteorologie I
MN-GM-MATHMET-I
StructureCoursesCredit pointsDuration (SWS)Workload (h)
Lecture33
Tutorial32
Total65
Description/
content
  1. Representation of figures in computer arithmetic
  2. Interpolation and extrapolation
  3. Searching for roots
  4. Minimization and maximization
  5. Integration of functions
  6. Solution of systems of linear equation
  7. Solution of eigenvalue and singular value problems
  8. Solution of ordinary differtential equations
  9. Solution of integral equations
Obligatory literature
  • W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, “Numerical Recipies”, Cambridge University Press
  • N. Köckler, „Numerische Algorithmen in Softwaresystemen“, Teubner, 1990
Additional literature
  • J. Stoer, „Einführung in die Numerische Mathematik I“, Springer Verlag, 1983 (ggf. neuere Auflage)
  • J. Stoer, R. Bulirsch, „Einführung in die Numerische Mathematik II“, Springer Verlag, 1978 (ggf. neuere Auflage)
Oragnisation/ teaching styleLecture, tutorials
Course assessment, assessment mode

This module is a non-compensable obligatory module. It is passed if

  1. lectures and tutorials were attended regularly and successfully (at least 50% of the in the tutorials accessible points have to be gained)
  2. the test was passed. If the test is not passed there will be the opportunity for a timely re-test (written or oral). If the re-test is not passed it is recommend to retry the course of module with a subsequent second re-test. If the second re-test is failed the module is not passed finally.
The module mark is the mark of the test (or re-test).
Learning/ qualification targets
  • Knowledge of basics of numeric
  • Knowledge of the most important numerical algorithms
  • Ability to solve general mathematical problems numerically
Prerequisites for attending

Passed modules:

  1. Mathematik für Physiker I
  2. Mathematik für Physiker II
  3. Datenverarbeitung und Programmieren
Frequency of the offerEvery summer semester
Imparted interdisciplinary competencies and soft skills
  • Basic knowledge to use and evaluate numerical algorithms
Applicability in other courses of studiesApplicable in all exact natural scientific subjects.
Accumulation in overall markYes, weighted with the factor 6/180.
CoordinatorPD Dr. H. Elbern, (Prof. Dr. Shao)
Retrieved2006-08-01