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- P. Buchfink, “Structure-preserving Model Reduction for Elasticity,” 2018.
|since 01.2018||reasearch associate at the University of Stuttgart|
|2016-2018||Master studies in Simulation Technology at the Univeristy of Stuttgart|
|2012-2016||Bachelor studies in Simulation Technology at the University of Stuttgart|
2018: Best MATHMOD Poster 2018 (1st place) for the contribution Buchfink, P. and Haasdonk, B.: Structure-preserving Model Reduction of Hamiltonian Systems for Linear Elasticity, 2018.
The prize "Best MATHMOD Poster 2018" was awarded to our contribution "Structure-preserving Model Reduction of Hamiltonian Systems for Linear Elasticity" authored by Buchfink, P. and Haasdonk, B. at the MathMod 2018. We achieved the 1st place from a total of 30 posters.
We highly acknowledge the funding by the German Research Foundation (DFG) within the Soft Tissue Robotics International Research Training Group (IRTG) and by the SimTech Industrial Consortium e.V. (IC SimTech).
RBmatlab patch: symplectic MOR An add-on to RBmatlab which contains the code required to reproduce the numerical experiments of the symplectic model reduction procedures discussed in our preprint Buchfink, P. & Bhatt, A. & Haasdonk, B.: Symplectic Model Order Reduction with Non-Orthonormal Bases