269007 VO Numerische Methoden II (2021W)
Labels
VOR-ORT
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
Details
Sprache: Englisch
Prüfungstermine
Donnerstag
27.01.2022
Freitag
11.02.2022
Freitag
25.02.2022
Freitag
11.03.2022
Freitag
08.04.2022
Freitag
01.07.2022
Donnerstag
21.07.2022
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Lectures will be digital via Moodle and zoom live sessions (19.11.2021)
Montag
22.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Mittwoch
24.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
25.11.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Montag
29.11.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Mittwoch
01.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
02.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Montag
06.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
09.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Montag
13.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Mittwoch
15.12.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
16.12.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Montag
10.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Mittwoch
12.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
13.01.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Montag
17.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Mittwoch
19.01.
09:45 - 11:15
Seminarraum 9, Kolingasse 14-16, OG01
Donnerstag
20.01.
11:30 - 13:30
Seminarraum 9, Kolingasse 14-16, OG01
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
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.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Oral exam.
Mindestanforderungen und Beurteilungsmaßstab
Minimum requirement: positive assessment of oral exam.
Prüfungsstoff
Topics discussed in the lecture.
Literatur
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.
Zuordnung im Vorlesungsverzeichnis
CO-MAT2
Letzte Änderung: Sa 08.07.2023 00:21