Research Group of Prof. Dr. M. Griebel
Institute for Numerical Simulation
maximize

Publications of Prof. Dr. Jochen Garcke:

[1] B. Bohn, J. Garcke, and M. Griebel. A sparse grid based method for generative dimensionality reduction of high-dimensional data. Journal of Computational Physics, 309:1-17, 2016. also available as INS Preprint No. 1514.
bib | DOI | .pdf 1 ]
[2] B. Bohn, J. Garcke, R. Iza-Teran, A. Paprotny, B. Peherstorfer, U. Schepsmeier, and C.-A. Thole. Analysis of Car Crash Simulation Data with Nonlinear Machine Learning Methods. Procedia Computer Science, 18:621 - 630, 2013. Proceedings of the International Conference on Computational Science, {ICCS} 2013.
bib | DOI | http ]
[3] O. Bokanowski, J. Garcke, M. Griebel, and I. Klompmaker. An adaptive sparse grid semi-Lagrangian scheme for first order Hamilton-Jacobi Bellman equations. J. of Scientific Computing, 55(3):575-605, 2013. Also available as INS Preprint No. 1207.
bib | DOI | .pdf 1 ]
[4] J. Garcke, T. Gerstner, and M. Griebel. Time series forecasting using sparse grids. Computing and Visualization in Science, 2013. submitted.
bib | .pdf 1 ]
[5] J. Garcke, T. Gerstner, and M. Griebel. Intraday foreign exchange rate forecasting using sparse grids. In J. Garcke and M. Griebel, editors, Sparse Grids and Applications, volume 88 of Lecture Notes in Computational Science and Engineering, pages 81-106, 2012. also available as INS Preprint No. 1006.
bib | .pdf 1 | Abstract ]
[6] J. Garcke, M. Griebel, and M. Thess. Data Mining for the category management in the retail market. Preprint, Institut für Numerische Simulation, Rheinische Friedrich-Wilhelms-Universität Bonn, 2009. This is the english version of `Garcke, Griebel, Thess: Data-Mining für die Angebotsoptimierung im Handel, 2009'.
bib | .pdf 1 ]
[7] J. Garcke, M. Griebel, and M. Thess. Data-Mining für die Angebotsoptimierung im Handel. In M. Grötschel, K. Lucas, and V. Mehrmann, editors, Produktionsfaktor Mathematik, pages 111-123. acatech, Springer, Berlin, Heidelberg, 2009. We also offer an english translation, see `Data Mining for the category management in the retail market'.
bib | .pdf 1 ]
[8] J. Garcke and M. Griebel. Semi-supervised learning with sparse grids. In M.-R. Amini, O. Chapelle, and R. Ghani, editors, Proceedings of ICML, Workshop on Learning with Partially Classified Training Data, pages 19-28, 2005.
bib | .ps.gz 1 | .pdf 1 | Abstract ]
[9] J. Garcke. Maschinelles Lernen durch Funktionsrekonstruktion mit verallgemeinerten dünnen Gittern. Dissertation, Institut für Numerische Simulation, Universität Bonn, 2004.
bib | http | .pdf 1 ]
[10] J. Garcke, M. Hegland, and O. Nielsen. Parallelisation of sparse grids for large scale data analysis. In P. Sloot, D. Abramson, A. Bogdanov, J. Dongarra, A. Zomaya, and Y. Gorbachev, editors, Proceedings of the International Conference on Computational Science 2003 (ICCS 2003) Melbourne, Australia, volume 2659 of Lecture Notes in Computer Science, pages 683-692. Springer, 2003. also as SFB 611 preprint 65, Universität Bonn, 2003.
bib | .pdf 1 | Abstract ]
[11] J. Garcke and M. Griebel. Classification with sparse grids using simplicial basis functions. Intelligent Data Analysis, 6(6):483-502, 2002. (shortened version appeared in KDD 2001, Proc. of the Seventh ACM SIGKDD, F. Provost and R. Srikant (eds.), pages 87-96, ACM, 2001).
bib | http | .ps.gz 1 | .pdf 1 | Abstract ]
[12] J. Garcke and M. Griebel. On the parallelization of the sparse grid approach for data mining. In S. Margenov, J. Wasniewski, and P. Yalamov, editors, Large-Scale Scientific Computations, Third International Conference, LSSC 2001, Sozopol, Bulgaria, volume 2179 of Lecture Notes in Computer Science, pages 22-32. Springer, 2001. also as SFB 256 Preprint 721, Universität Bonn, 2001.
bib | .ps.gz 1 | .pdf 1 | Abstract ]
[13] J. Garcke and M. Griebel. Data mining with sparse grids using simplicial basis functions. In F. Provost and R. Srikant, editors, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, USA, pages 87-96, 2001. also as SFB 256 Preprint 713, Universität Bonn, 2001.
bib | http | .ps.gz 1 | .pdf 1 | Abstract ]
[14] J. Garcke, M. Griebel, and M. Thess. Data mining with sparse grids. Computing, 67(3):225-253, 2001. also as SFB 256 Preprint 675, Institut für Angewandte Mathematik, Universität Bonn, 2000.
bib | .pdf (link) | http | .ps.gz 1 | Abstract ]
[15] J. Garcke and M. Griebel. On the computation of the eigenproblems of hydrogen and helium in strong magnetic and electric fields with the sparse grid combination technique. Journal of Computational Physics, 165(2):694-716, 2000. also as SFB 256 Preprint 670, Institut für Angewandte Mathematik, Universität Bonn, 2000.
bib | http | .ps.gz 1 | .pdf 1 | Abstract ]
[16] J. Garcke. Berechnung von Eigenwerten der stationären Schrödingergleichung mit der Kombinationstechnik. Diplomarbeit, Institut für Angewandte Mathematik, Universität Bonn, 1998.
bib | .ps.gz w/o pict | .ps.gz 1 | .pdf 1 ]