Heidelberg Graduate School of
Mathematical and Computational Methods for
the Sciences
Upcoming events
| Abstract: | |
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| Complex processes are described by nonlinear differential equation systems. Only validated models allow realistic process simulations and the potential of process optimizations. This course deals with concepts, methods and software for model validation, especially sensitivity analysis, parameter estimation, optimum experimental design and model discrimination. The course consits of lectures, tutorials and practicals including an introduction to PARFIT and VPLAN. It is planned to conclude the course with a scientific workshop at the last day. | |
| Date: | Monday 8th February 2010, 9:15 |
| Duration: | Feb 8th - Feb 12th 2010; 09:00-16:00 |
| Location: | IWR, R432 and OMZ, U012 |
| Organized by: | Dr. S. Körkel, Dr. Thomas Carraro |
| Link: | http://optex.uni-hd.de/ |
| Abstract: | |
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| Remark: The course language is English although this abstract is in German Diese Lehrveranstaltung behandelt die aktuelle Theorie und Praxis der gemischt-ganzzahligen Optimierung. Themen der Veranstaltung sind: Optimierungsmodelle, Grundlagen der linearen Optimierung und polyedrischen Kombinatorik, Dualität, Relaxierungen, Schnittebenengenerierung, Preprocessing, Dekompositionsverfahren, Heuristiken, Branch-and-Bound, Branch-and-Cut, Anwendungen in der Praxis. Die Veranstaltung umfasst einen Vorlesungsteil und einen integrierten Übungsteil mit praktischen Übungen am Computer. In den Übungen wird insbesondere vermittelt, Optimierungsmodelle zu formulieren, Modellgeneratoren zu benutzen und mit Hilfe von Optimierungsbibliotheken eigene Spezialalgorithmen zu entwickeln. Die Vorlesung wendet sich an Studierende der Informatik oder Mathematik in Haupt- oder Nebenfach sowie an Lehramtsstudenten und Doktoranden. Außer mathematischem Grundwissen und Programmierkenntnissen in C oder C++ werden keine Kenntnisse vorausgesetzt. | |
| Date: | Monday 8th February 2010, 9:00 |
| Duration: | February 8th - February 12th 2010; 09-13 and 14-18 |
| Location: | OMZ, INF 350, Room U013 & U012 |
| Organized by: | Prof. G.Reinelt, Dr. M.Oswald |
| Abstract: | |
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| Stochastic Processes are relevant to understand all microscopic phenomena in natural sciences, including quantum processes, molecular dynamics and motion of proteins in the cell. They are also useful to quantitatively model many macroscopic processes, such as stock price evolution and climate changes. In this course we will teach the basic tools for simulating and analyzing such processes. Prerequisites: * Basic knowledge in Mathematics (Integral and Differential calculus, Basic Matrix Algebra, Random Numbers) * Open to PhD, MSc and BSc students in Maths, Physics, Chemistry, Biology and Economics Content: - Overview: Applications in Biology, Chemistry, Physics and Economy - Random Walks - Stochastic Differential Equations (SDE) - Continuous State Markov Processes: Brownian/Smoluchowski dynamics and Langevin dynamics - From SDE to Fokker-Planck Equation - Discrete State Markov Chains - Numerics: Discretization of continuous random processes. - Estimation and Statistical uncertainties - Markov Chain Monte Carlo - Statistical analysis of Molecular Dynamics Registartion: by email frank.noe@fu-berlin.de | |
| Date: | Monday 15th February 2010, 9:15 |
| Duration: | February 15th - 19th, 2010; 11:00-12:30; 14:00-15:30 (sharp!) |
| Location: | IWR, INF 368, Room 532 |
| Organized by: | PD Dr. Frank Noe |
| Abstract: | |
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| Representatives of IWR, Heidelberg University and Jioa Tong University, Shanghai, meet for the second time to hold a workshop on computational methods. This workshop will strengthen the ties between the two universities. | |
| Date: | Thursday 11th March 2010, 9:00 |
| Duration: | March 11th - 12th 2010 |
| Location: | Jiao Tong University, Shanghai, PR China |
| Invited by: | HGS MathComp & Prof. Dieter Heermann |
| Date: | Monday 15th March 2010, 7:00 |
|---|---|
| Duration: | March 15th-19th 2010 OMZ, rooms U011, U012 and U014 |
| Location: | OMZ, rooms U011, U012 and U014 |
| Invited by: | Prof. Dr. Peter Bastian |
| Link: | http://conan.iwr.uni-heidelberg.de/dune-workshop/index.html |
| Abstract: | dune_course_poster.pdf |
| Date: | Monday 4th October 2010, 9:00 |
|---|---|
| Duration: | Oct. 4th - Oct 6th 2010 |
| Location: | tba. |
| Invited by: | HGS MathComp Dr. Sebastian Sager |
| Link: | http://sccs10.uni-hd.de/ |
Concepts
Scientific computing with its core components mathematical modeling, simulation and optimization has developed into a key technology for understanding and mastering challenges in science and engineering. Stemming from application problems as diverse as the design of fuel cells, the understanding of the dynamics of cancer or the risk analysis for historical monuments, the demand for young scientists who are well-trained in these methods and application fields is rising fast.
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences intends to meet this demand. Our aim is to provide a structured interdisciplinary reserach training program to promote the developement of new and even more powerful methods of scientific computing and to carry this methodology into new scientific territory. Our students will receive training based on the guiding principles of
- Scientific excellence
- Interdisciplinarity and
- Internationality.
The ambition is to provide the doctoral students with excellent training that equips them with the manifold qualifications required from future leading scientists.
The Heidelberg Graduate School of Mathematical and Computational Methods for the Sciences is funded by the Deutsche Forschungsgemeinschaft (DFG) in the second round of the Excellence Initiative.
Last Update: 18.12.2009
