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2020 – today
- 2024
[j5]Jean Bénézech
, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl:
Scalable multiscale-spectral GFEM with an application to composite aero-structures. J. Comput. Phys. 508: 113013 (2024)- [i6]Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl:
Democratizing Uncertainty Quantification. CoRR abs/2402.13768 (2024) - 2023
- [j4]Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz:
UM-Bridge: Uncertainty quantification and modeling bridge. J. Open Source Softw. 8(83): 4748 (2023) - [j3]Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow:
Multilevel Spectral Domain Decomposition. SIAM J. Sci. Comput. 45(3): S1-S26 (2023) - [i5]Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl:
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. CoRR abs/2304.14087 (2023) - 2022
- [i4]Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl:
Scalable multiscale-spectral GFEM for composite aero-structures. CoRR abs/2211.13893 (2022) - 2021
- [j2]Matthew D. Parno, Andrew D. Davis, Linus Seelinger:
MUQ: The MIT Uncertainty Quantification Library. J. Open Source Softw. 6(68): 3076 (2021) - [c2]Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl:
High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo. SC 2021: 75 - [i3]Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow:
Multilevel Spectral Domain Decomposition. CoRR abs/2106.06404 (2021) - [i2]Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl:
High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo. CoRR abs/2107.14552 (2021) - 2020
- [j1]Richard Butler, Tim J. Dodwell, Anne Reinarz, A. Sandhu, Robert Scheichl, Linus Seelinger:
High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites. Comput. Phys. Commun. 249: 106997 (2020)
2010 – 2019
- 2019
- [c1]Linus Seelinger, Anne Reinarz, Robert Scheichl:
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. PPAM (1) 2019: 117-128 - [i1]Linus Seelinger, Anne Reinarz, Robert Scheichl:
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. CoRR abs/1906.10944 (2019)
Coauthor Index
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