Universität Wien
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262007 VO Numerical Mathematics 2 (2025S)

5.00 ECTS (3.00 SWS), SPL 26 - Physik

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: English

Lecturers

Classes (iCal) - next class is marked with N

Kick-off meeting for both lecture and exercise course Mo 03.03.2025 16:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien 3500

  • Monday 10.03. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 17.03. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 24.03. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 31.03. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 07.04. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 28.04. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 05.05. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 12.05. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 19.05. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 26.05. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 02.06. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 16.06. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 23.06. 16:30 - 19:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien

Information

Aims, contents and method of the course

Students acquire knowledge about the treatment of advanced
tasks of numerical mathematics and modeling, in particular about the
following topics: Numerical linear algebra: Krylov (sub-)spaces and
iteration methods (Arnoldi, Lanczos, CG, GMRES etc.), sparse linear algebra; Fundamentals of Monte Carlo simulation; Analysis: Interpolation of curves and surfaces, multidimensional integration (Monte-Carlo, Quasi-Monte-Carlo);
linear optimization; Numerical solution of ordinary differential equations (one-step methods, multi-step methods,
boundary value problems); Numerical solution of partial differential equations
(FEM, finite difference method).

Assessment and permitted materials

Oral exam.

Minimum requirements and assessment criteria

Minimum requirement: positive assessment of oral exam.

Examination topics

Topics discussed in the lecture.

Reading list

Lecture notes.

Association in the course directory

PM-NUM2

Last modified: Th 16.01.2025 11:26