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Numerical Solution of Differential Equations
Numerik der Differentialgleichungen
Last Updated: 2026-02-05 15:14:53
Abstract
Methods for the numerical solution of partial differential equations of elliptic, parabolic and hyperbolictype. Finite Element, Finite Difference and Finite Volume Methods. A-priori and a-posteriorierror estimation. MATLAB implementation in one and two spatial dimensions.
Objective
Overview of the most important methods for numerical solution of partial differential equations, in particular of linear elliptic, parabolic and hyperbolic partial differential equations. Overview of the theory plus implementation of the methods.
Content
Elliptic problems. Diffusion. Finite Element Methods, Finite Difference Methods: analysis and implementation. Direct and iterative solution of linear systems of equations. A-priori and a-posteriori error estimation. Adaptive Mesh Refinement Algorithms in 1-d and in 2-d. Indefinite Problems of Helmholtz type. Problems with constraints. Stokes Problem. Inf-sup Condition and divergence stable Finite Elements. Eigenvalue problems and their FE discretization. Linear parabolic problems. Explicit and implicit timestepping schemes. Finite Difference Methods for linear and nonlinear hyperbolic problems in one space dimension.
Resources
Lecture Notes
Skript is provided.
Literature
D. Braess, Finite Elements, Cambridge Univ. Press
General Information
- Language
- English
- Levels
- BSC , DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- 10 DIN A4 Blätter beidseitig handschriftlich beschrieben, Taschenrechner.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Numerik der Differentialgleichungen (Numerical Solution of Differential Equations) |
|
4 h weekly |
| exercise | Numerik der Differentialgleichungen (Numerical Solution of Differential Equations) |
|
2 h weekly |