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Disambiguation of "Haasdonk, B."

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Application of the Rigid Finite Element Method to the Simulation of Cable-Driven Parallel Robots

, , , and . Computational Kinematics, (2017)
DOI: 10.1007/978-3-319-60867-9_23

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Univ. -Prof. Dr. Bernard Haasdonk University of Stuttgart

B. Schlecht

Max B. Schäfer

Univ. -Prof. Dr. Hans Peter Büchler University of Stuttgart

Data for Äbsorbing State Phase Transition with Clifford Circuits", , and . Dataset, (2024)Related to: Makki, Nastasia, Lang, Nicolai & Büchler, Hans Peter (2024). Absorbing state phase transition with Clifford circuits. Phys. Rev. Res. 6, 013278. doi: 10.1103/PhysRevResearch.6.013278.

Univ.-Prof. Dr. Alexander Brem University of Stuttgart

 

Other publications of authors with the same name

An Improved Vectorial Kernel Orthogonal Greedy Algorithm, and . Dolomites Research Notes on Approximation, (2013)Application of the Rigid Finite Element Method to the Simulation of Cable-Driven Parallel Robots, , , and . Computational Kinematics, (2017)Surrogate modeling of multiscale models using kernel methods, , and . International Journal for Numerical Methods in Engineering, (2014)Greedy Kernel Approximation for Sparse Surrogate Modelling, and . Reduced-Order Modeling (ROM) for Simulation and Oprimization, (2017)Convergence of a staggered Lax-Friedrichs scheme for nonlinear conservation laws on unstructured two-dimensional grids, , and . Numer. Math., 88 (3): 459--484 (2001)Using Transformation Knowledge for the Classification of Raman Spectra of Biological Samples, , , , , , and . BIOMED 2006, Proc. of the 4th IASTED International Conference on Biomedical Engineering, page 288-293. (2006)Efficient Reduced Models and A-Posteriori Error Estimation for Parametrized Dynamical Systems by Offline/Online Decomposition, and . MCMDS, Mathematical and Computer Modelllng of Dynamical Systems, (2009)A POD-EIM reduced two-scale model for crystal growth, and . Advances in Computational Mathematics, (2014)A Software Framework for Reduced Basis Methods Using Dune-RB and RBmatlab, , and . Advances in DUNE, (2012)Surrogate-data-enriched Physics-Aware Neural Networks, , , and . (2021)