Dynamischer Default-Fachbereich geändert auf MAT

Course MAT-81-39-K-7

Model Order Reduction for Large Scale Systems (2V, 4.5 LP)

Course Type

SWS	Type	Course Form	CP (Effort)	Presence-Time / Self-Study
2	V	Lecture	4.5 CP	28 h	107 h
(2V)			4.5 CP	28 h	107 h

Basedata

SWS	2V
CP, Effort	4.5 CP = 135 h
Position of the semester	1 Sem. irreg.
Level	[7] Master (Advanced)
Language	[EN] English
Lecturers	Damm, Tobias, Prof. Dr. (PROF \| DEPT: MAT) Pinnau, René, Prof. Dr. (PROF \| DEPT: MAT) + further Lecturers of the department Mathematics
Area of study	[MAT-TEMA] Industrial Mathematics
Additional informations
Livecycle-State	[NORM] Active

Contents

Model reduction methods for ordinary and partial differential equations are discussed, in particular

Krylov space methods,
reduced bases,
Proper Orthogonal Decomposition (POD).

Literature

A.C. Antoulas: Approximation of Large-Scale Dynamical Systems,
A.T. Patera and G. Rozza, Reduced Basis Approximation and A Posteriori Error Estima-tion for Parametrized Partial Differential Equations,
P. Benner, V. Mehrmann, D.C. Sorensen: Dimension Reduction of Large-Scale Systems,
W.H. Schilders, H.A. van der Vorst, J. Rommes: Model Order Reduction: Theory, Re-search Aspects and Applications.

Materials

[MAT:LIT]

Requirements for attendance (informal)

Modules:

Courses

Requirements for attendance (formal)

None

References to Course [MAT-81-39-K-7]

Module	Name	Context
[MAT-81-39-M-7]	Model Order Reduction for Large Scale Systems	P: Obligatory	2V, 4.5 LP