Repository: Freie Universität Berlin, Math Department

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Number of items: 7.

Nüsken, N. and Reich, S. (2019) Note on Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler by Garbuno-Inigo, Hoffmann, Li and Stuart. arXive . pp. 1-6. (Submitted)

von Larcher, T. and Klein, R. (2019) On identification of self-similar characteristics using the Tensor Train decomposition method with application to channel turbulence flow. Theoretical and Computational Fluid Dynamics, 33 . pp. 1-19. ISSN 0935-4964 (Print) 1432-2250 (Online)

von Larcher, T. and Klein, R. (2019) Approximating turbulent and non-turbulent events with the Tensor Train decomposition method. In: Turbulent Cascades II. Springer. ISBN Print: 978-3-030-12546-2 Electronic: 978-3-030-12547-9

Kornhuber, R. and Peterseim, D. and Yserentant, H. (2018) An analysis of a class of variational multiscale methods based on subspace decomposition. Mathematics of Computation, 87 (314). pp. 2765-2774. ISSN 1088-6842 (online)

Kornhuber, R. and Podlesny, J. and Yserentant, H. (2017) Direct and Iterative Methods for Numerical Homogenization. In: Domain Decomposition Methods in Science and Engineering. Lecture Notes in Computational Science and Engineering, XXIII (116). SpringerLink, pp. 217-225. ISBN 978-3-319-52389-7

Kornhuber, R. and Yserentant, H. (2016) Numerical Homogenization of Elliptic Multiscale Problems by Subspace Decomposition. Multiscale Model. Simul., 14 (3). pp. 1017-1036. ISSN print: 1540-3459; online: 1540-3467

Horenko, I. and Gerber, S. (2015) Improving clustering by imposing network information. Science Advances, 1 (7). ISSN 2375-2548

This list was generated on Sun May 29 13:09:20 2022 CEST.