
The Max-Planck-Institute for Mathematics in the Sciences organises the annual GAMM-Seminar Leipzig.
Time and Place
The conference will take place at the
Max-Planck-Institute for Mathematics in the Sciences
in Leipzig
Inselstr. 22-26, 04103 Leipzig, Germany
February 22-24, 2010.
Seminar Topics
- Low Rank Tensor Approximations
- Sparse Grids
- Compressed Sensing and Data-Sparse Recovery
- PDEs with Stochastic Parameters
- Numerical Methods for Quantum-Chemistry
- Applications in High Dimensions
Invited Speakers
- Pierre Comon (Université Nice):
Tensor decomposition can reduce to rank-one approximations - Lieven De Lathauwer (KU Leuven):
Tucker Compression, Parallel Factor Analysis and Block Term Decompositions: New Results - Lars Eldén (Linköping University):
Computing Low-Rank Approximations of Sparse Tensors using Krylov Methods - Markus Hegland (Australian National University Canberra):
The optimal combination technique for the solution of some machine learning problems
and connections to variational Bayes and mixture models - Christian Lubich (Universität Tübingen):
Variational approximations in quantum dynamics and the MCTDH method - Reinhold Schneider (TU Berlin):
Optimization in Tensor-Networks and Fock Space Discretization for the Electronic Schrödinger Equation
Registration is open
- For registration please send an email to Lars Grasedyck (lgr(at)mis.mpg.de)
- There is only a limited number of seats available, preference will be given to earlier registered persons.
- List of participants.
- Abstracts can be submitted to the registration address (ASCII or LaTeX or html or EPS or PDF format).
Preliminary Programme
General Information
- Organisers:
- Lars Grasedyck (RWTH Aachen, Germany)
- Wolfgang Hackbusch (MPI Leipzig, Germany)
- Boris Khoromskij (MPI Leipzig, Germany)
- Location:
- Max-Planck-Institute for Mathematics in the Sciences
- Inselstr. 22-26, D-04103 Leipzig
- Conference fee:
- none
- Local organisation:
- Lars Grasedyck, Valeria Hünniger, Konrad Kaltenbach
- Tel: +49 (0)341 9959 752
- Fax: +49 (0)341 9959 999
- eMail: lgr(at)mis.mpg.de, vah(at)mis.mpg.de