262007 VO Numerical Mathematics 2 (2024S)
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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
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
The preliminary meeting for the VO (262007) and the UE (262008) will be on Monday, Feb. 4, at 8:00 in Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien 3500
Monday
04.03.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
11.03.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
18.03.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
08.04.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
15.04.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
22.04.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
29.04.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
N
Monday
06.05.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
13.05.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
27.05.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
03.06.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
10.06.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Monday
17.06.
08:00 - 10:30
Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
Information
Aims, contents and method of the course
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: Mo 15.04.2024 11:06
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).