The Simulation and Optimization group offers software practicals for bachelor and master students (or equivalent, e.g., Diplom) who aim for a degree in mathematics, physics, or engineering sciences.

Software practicals are not seminars, but are project oriented, i.e., the students work alone or in small groups on a well-defined project under the supervision of one or two members of the group (PhD, PostDoc, Master/Diplom students). The number of students allowed per practical depends on the project. Meetings with the supervisors are scheduled personally and on demand.

The practicals are divided into beginners' and advanced practicals. The workload of a beginners' practical is 40 hours per person. The workload of an advanced practical is 80 hours per person. Beginners' practicals also have lower requirements on the students' skills.

Open Software Practicals

• the names of the students in the group,
• their respective aspired degree (e.g., MSc in mathematics with minor computer science),
• relevant courses taken (e.g., Informatik I, Numerik 0-2, etc. or similar for non-German students),
• a concise comment on the personal motivation for undertaking the chosen practical and prospects for continuing with a Diplom, master, bachelor, or PhD degree in the Simulation and Optimization group.

Advanced

• Visualization of a car cockpit, driving- and road-related data in OpenGL.
• Interface between a Combustion Simulation Tool and a Parameter Estimation Code.
• Generation of Initial Guesses for Orbit Determination with Energy Conserving Projections.
• Moving Horizon Estimation for Satellite Orbit Determination.
• Comparison of software tools for Automatic Differentiation.
• Simulation, visualization and analysis of a chemical reaction in two dimensions.
• Evaluation of an algebraic multi-grid method.

Beginners

• Generation of Initial Guesses for Orbit Determination with Energy Conserving Projections.
• Empiricial comparison of various programming languages for scientific computing.
• Evaluation of an algebraic multi-grid method.

Running software practicals

• Metaprogramming for the formulation of complex optimization problems
  (Christian Amrhein, Tristan Engel, Lisa Kolb)
• Shooting Methods in Practice: Control of a USB Missile Launcher.
  (Hannes Koderisch, Andreas Neudecker)
• Preparation of aerospace test cases for optimization with MUSCOD.
  (Philipp Stekl, Ijaz Ahmad)
• Data Preparation of Stellar Atmosphere Simulation Results.
  (Roger Gaczkowski)
• Implementation of rigorous tests for a linear algebra software package.
  (Artjom Zern)
• Visualization of Flight Maneuvers

Examples of completed software practicals

• Local Minima in Parameter Estimation Problems for a Predator Prey Model.
  (Shashank Jaiswal)
• Simulation and Visualization of Robot Kinematics
  (Ijaz Ahmad, Philipp Stekl)
• Automatic Differentiation of Optimal Control Problem Functions
  (Shashank Jaiswal)
• Initial Satellite Orbit Determination with Nonsingular Kepler Elements
  (Jamin Hass)
• Design and Implementation of a new parser for MUSCOD-II input files using the boost::spirit parser.
  (Timo Minartz, Markus Breit)
• Implementation of a new visualization frontend for MUSCOD-II/SOLVIND using GTK+ and Cairo
  (Timo Taglieber)
• SolvIND/DAESOL-II Integrator Benchmark and Test
• C++ Implementation of a Nonlinear Kalman Smoother for Marker Data Processing
• Setting up a complex evaporator model with MUSCOD
• GUI for DistMesh
• MUSCOD Tutorial
• Java Programming in a Literature Database Project
• Portable MUSCOD
• SONIC++: A C++ implementation of matrix and vector template classes on top of BLAS
(Michael Hoffer, Christian Poliwoda)

Contact

For general questions please contact