Staff Dr. Jens Oettershagen
Mr. Oettershagen is now at Deutsche Post DHL. This page is no longer maintained.
Contact Information
E-Mail:
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Research Interests
- Complexity of high-dimensional problems and tractability
- Kernel methods
- (Quasi-)Monte Carlo methods
- Sparse grids
- (Global) optimization
with applications to
- Econometrics
- Computational finance
- Machine learning
- Quantum mechanics
Teaching
Winter semester 2017/18
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Graduate Seminar on Numerical Analysis
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Hauptseminar Numerik Neural Networks in Approximation Theory
See teaching activities of the whole group.
Completed Research Projects
Efficient enumeration of Frolov lattice points
Publications
Theses (co-supervised)
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Quadrature Approximation for Feature Maps in Kernel Methods.
T. Ruland.
Masterarbeit, Institut für Numerische Simulation, Universität Bonn, 2017.
BibTeX
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Publications
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Comparing nested sequences of Leja and PseudoGauss points to interpolate in 1D and solve the Schroedinger equation in 9D.
G. Avila, J. Oettershagen, and T. Carrington.
In Sparse grids and Applications, Lecture Notes in Computational Science and Engineering.
Springer, 2018.
BibTeX
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Optimal point sets for quasi-Monte Carlo integration of bivariate periodic functions with bounded mixed derivatives.
A. Hinrichs and J. Oettershagen.
In R. Cools and D. Nuyens, editors, Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014, pages 385–405.
Springer International Publishing, 2016.
BibTeX
DOI
arXiv
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Quadrature Approximation for Feature Maps in Kernel Methods. T. Ruland. Masterarbeit, Institut für Numerische Simulation, Universität Bonn, 2017. BibTeX
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Comparing nested sequences of Leja and PseudoGauss points to interpolate in 1D and solve the Schroedinger equation in 9D. G. Avila, J. Oettershagen, and T. Carrington. In Sparse grids and Applications, Lecture Notes in Computational Science and Engineering. Springer, 2018. BibTeX
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Optimal point sets for quasi-Monte Carlo integration of bivariate periodic functions with bounded mixed derivatives. A. Hinrichs and J. Oettershagen. In R. Cools and D. Nuyens, editors, Monte Carlo and Quasi-Monte Carlo Methods: MCQMC, Leuven, Belgium, April 2014, pages 385–405. Springer International Publishing, 2016. BibTeX DOI arXiv