Higher Mathematics 3
| Degree programme | Mechatronics |
| Subject area | Engineering Technology |
| Type of degree | Master full-time |
| Type of course unit (compulsory, optional) | Compulsory |
| Course unit code | 024612030601 |
| Teaching units | 30 |
| Year of study | 2025 |
| Name of lecturer(s) | Thomas STEINBERGER |
Higher Mathematics 1 and 2
The students learn how to solve non-linear systems of equations and non-linear optimization problems with and without constraints mostly in an iterative and approximative way. Theory of solving elliptic partial differential equations, Ritz Galerkin method for approximative solutions and the application of this theory to FEM will be discussed.
The students know how to treat some typical nonlinear optimization problems and are able to apply standard methods for their solution. A mostly geometrical interpretation and intuition shall be learned for the formulation and solution of the problems. Theory of solving elliptic partial differential equations, Ritz Galerkin method for approximative solutions and the application of this theory to FEM should be understood.
Integrated course: Besides the lectures the participants work on many exercises at home and during the course.
Exam
None
„EE103 - Applied Numerical Computing (Fall 2011-12)“ (o. J.): EE103 - Applied Numerical Computing (Fall 2011-12). Online im Internet:http://www.seas.ucla.edu/~vandenbe/ee103.html (Zugriff am: 08.02.2017).
Topics: # non-linear equations # non-linear optimization.
Face to face