250053 VU Computational Fourier Analysis (2024S)
Continuous assessment of course work
Labels
ON-SITE
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).
- Registration is open from Th 01.02.2024 00:00 to Mo 26.02.2024 23:59
- Deregistration possible until Su 31.03.2024 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The first lectures takes place 05.03.2024.
Friday
01.03.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
05.03.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
08.03.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
15.03.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
19.03.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
22.03.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
09.04.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
12.04.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
16.04.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
19.04.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
23.04.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
26.04.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
30.04.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
03.05.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
07.05.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
10.05.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
14.05.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
17.05.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
N
Tuesday
21.05.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
24.05.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
28.05.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
31.05.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
04.06.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
07.06.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
11.06.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
14.06.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
18.06.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
21.06.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
25.06.
09:45 - 11:15
Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Friday
28.06.
11:30 - 13:00
Seminarraum 10 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
The fast Fourier transform (FFT) is widely used in the applied sciences for the numerical approximation of Fourier coefficients of periodic functions and of the Fourier transform of functions on the real line. It is a fast algorithm that computes the discrete Fourier transform.We answer the question "how well does the discrete Fourier transform approximate Fourier coefficients and the Fourier transform". This course provides a theoretical analysis and supporting numerical illustrations.
Assessment and permitted materials
Exercises/projects and written or oral exam
Minimum requirements and assessment criteria
Successful presentation of solutions to exercises/projects and successful written or oral exam.
Examination topics
Understanding of the theory presented in the course and the exercises/projects.
Reading list
- W.L.Briggs and V.E.Henson: The DFT. An owner’s manual for the discrete Fourier transform, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 1995.- L.N.Trefethen and J.A.C.Weideman: The exponentially convergent trapezoidal rule, SIAM Rev., 56 (2014), pp. 385–458.
Association in the course directory
MAMV; MANV;
Last modified: We 06.03.2024 16:06