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Linear Algebra
Lineare Algebra
Last Updated: 2026-02-05 15:14:28
Abstract
Application oriented introduction to linear algebra (vector spaces, linear transformations, matrices) , matrix decompositions (LU, QR, eigenvalue, and singular value decomposition), and the difficulties of numerical computations. Introduction to the programming environment Matlab.
Objective
Application oriented introduction to linear algebra (vector spaces, linear transformations, matrices) , matrix decompositions (LU, QR, eigenvalue, and singular value decomposition), and the difficulties of numerical computations. Introduction to the programming environment Matlab.
Content
Linear Algebra: Linear systems of equations, vectors and matrices, norms and scalar products, LU decomposition, vector spaces and linear transformations, least squares problems, QR decomposition, determinants, eigenvalues and eigenvectors, singular value decomposition, applications. Numerical aspects: Roundoff errors, IEEE arithmetic, condition of a problem, stability of algorithms.
Resources
Lecture Notes
Script "Linear Algebra" (Gutknecht) in German, with English expressions for all technical terms; script "Finite Arithmetic" (Gander).
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 120 minutes
- Aids
- 12 A4-Seiten handgeschriebene Notizen; kein Taschenrechner.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Lineare Algebra |
|
4 h weekly |
| exercise | Lineare Algebra |
|
2 h weekly |
Offered In
-
-
1. Semester Bachelor Programme (*) Consult special announcement!)
-