Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

401-0141-00L  Linear Algebra and Numerical Analysis

SemesterAutumn Semester 2016
LecturersV. C. Gradinaru, R. Käppeli
Periodicityyearly recurring course
Language of instructionGerman


AbstractIntroduction to Linear Algebra and Numerical Analysis with emphasis on both abstract concepts and algorithms.
ObjectiveTo acquire basic knowledge of Linear Algebra and Numerical Methods. Enhanced capability for abstract and algorithmic thinking based on mathematical concepts and models. Ability to select appropriate numerical linear algebra methods, to apply them properly and to implement them efficiently in MATLAB.
Content1. Linear systems of equations
2. Vector and matrix calculus
3. Subspaces and bases
4. The Euclidean space Rn
5. Numerical linear algebra with MATLAB
6. Linear mappings [optional]
7. Diagonalization (eigenproblems)
Lecture notesFür weitere Informationen: http://www.sam.math.ethz.ch/~grsam/HS16/LABAUG/index.html
LiteratureK. Nipp, D. Stoffer, Lineare Algebra, VdF Hochschulverlag ETH

G. Strang, Lineare Algebra, Springer