Diese Seite auf DE
Event
[SS230164500]
Lecturers
Organisation
- Institut für Angewandte und Numerische Mathematik
Part of
Appointments
- 18.04.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 25.04.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 27.04.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 02.05.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 04.05.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 09.05.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 11.05.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 16.05.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 23.05.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 25.05.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 06.06.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 13.06.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 15.06.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 20.06.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 22.06.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 27.06.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 29.06.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 04.07.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 06.07.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 11.07.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 13.07.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 18.07.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 20.07.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
- 25.07.2023 15:45 - 17:15 - Room: 20.30 SR 3.061
- 27.07.2023 08:00 - 09:30 - Room: 20.30 SR 3.068
Note
The aim of this lecture is to construct, analyze and discuss the
efficient implementation of numerical methods for time-dependent
partial differential equations (pdes). We will consider traditional
methods and techniques as well as very recent research.
Prerequisites: The students are expected to be familiar with the
basics of the numerical analysis of the time integration of ordinary
differential equations (Runge-Kutta and multistep methods) and of
finite element methods for elliptic boundary element methods. The
lecture starts with a review on Runge-Kutta and multistep meth-
ods. Some basic knowledge in functional analysis and the analysis
of boundary value problem is helpful but the main results will be
repeated in the lecture.