André Buchau
University of Stuttgart
51 Papers
324 Citations
André Buchau is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Fast multipole method & Boundary element method. The author has an hindex of 10, co-authored 50 publications.
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Papers
Fast BEM computations with the adaptive multilevel fast multipole method
TL;DR: This paper presents an adaptive multilevel fast multipole method for the solution of electrostatic problems with the BEM and shows, that in practice the storage requirements and computational costs are approximately proportional to N and therefore even large three dimensional problems can be solved on a relative small computer.
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Augmented reality in teaching of electrodynamics
TL;DR: In this paper, an application of augmented reality (AR) in the context of teaching of electrodynamics is presented, where 3D electromagnetic fields are computed with the finite element method (FEM) and visualized with an AR display.
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Efficient integral equation method for the solution of 3-D magnetostatic problems
W. Hafla,André Buchau,F. Groh,Wolfgang M. Rucker +3 more
- 16 May 2005
TL;DR: In this paper, an improved fixed point solver is used to ensure convergence of the nonlinear magnetostatic field problems with a relative small number of unknown unknowns, and the accuracy of the applied indirect IEM formulation is improved significantly by the use of a difference field concept and a special treatment of singularities at edges.
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NMR magnets for portable applications using 3D printed materials
TL;DR: In this article, 3D printing is used to realize the yoke that guides the magnetic flux inside the magnet, providing the potential for a substantial weight reduction compared to a conventional iron yoke.
28
BEM computations using the fast multipole method in combination with higher order elements and the Galerkin method
TL;DR: A new approach to the adaptive multilevel fast multipole method in combination with higher order elements and the Galerkin method is presented, showing that very large static problems with complex geometrical configuration can be solved on a small computer.
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