401-0141-00L Linear Algebra and Numerical Analysis
Semester | Autumn Semester 2016 |
Lecturers | V. C. Gradinaru, R. Käppeli |
Periodicity | yearly recurring course |
Language of instruction | German |
Abstract | Introduction to Linear Algebra and Numerical Analysis with emphasis on both abstract concepts and algorithms. |
Objective | To 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. |
Content | 1. 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 notes | Für weitere Informationen: Link |
Literature | K. Nipp, D. Stoffer, Lineare Algebra, VdF Hochschulverlag ETH G. Strang, Lineare Algebra, Springer |