269007 VO Numerical Methods II (2021W)
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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
Thursday
27.01.2022
Friday
11.02.2022
Friday
25.02.2022
Friday
11.03.2022
Friday
08.04.2022
Friday
01.07.2022
Thursday
21.07.2022
Lecturers
Classes (iCal) - next class is marked with N
Lectures will be digital via Moodle and zoom live sessions (19.11.2021)
Monday
22.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Wednesday
24.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
25.11.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Monday
29.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Wednesday
01.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
02.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Monday
06.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
09.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Monday
13.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Wednesday
15.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
16.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Monday
10.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Wednesday
12.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
13.01.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Monday
17.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Wednesday
19.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Thursday
20.01.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Information
Aims, contents and method of the course
Large scale numerical methods and algorithms which are important for numerical modeling in natural and computational sciences. The lecture aims at teaching basic understanding of the derivation, functionality and field of application of the discussed methods and algorithms.It is the continuation of the first part CO-MAT1 (269005) and is basically covering the topics from the curriculum: Iterative methods for large (sparse) linear systems, numerics for eigenvalue problems, nonlinear systems of equations and numerics for ordinary differential equations as well as stochastic processes and Monte Carlo methods (if enough time available).The lecture is also supplemented by an exercise course (LV-Nr. 269008) where content from the lecture is tested and deepened practically (programming examples in Matlab/Octave/Python) and theoretically.
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.Optional:
Y.Saad "Iterative methods of sparse linear systems" SIAM 2003.
Y.Saad "Numerical methods for large eigenvalue problems" SIAM 2011.
N.Trefethen et al "Numerical Linear Algebra" SIAM 1997.
E.Hairer et al "Solving ordinary differential equations 1/2" Springer 1987.
Y.Saad "Iterative methods of sparse linear systems" SIAM 2003.
Y.Saad "Numerical methods for large eigenvalue problems" SIAM 2011.
N.Trefethen et al "Numerical Linear Algebra" SIAM 1997.
E.Hairer et al "Solving ordinary differential equations 1/2" Springer 1987.
Association in the course directory
CO-MAT2
Last modified: Sa 08.07.2023 00:21