Linus Seelinger

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Spectral Domain

Markov Chain Monte Carlo

Top Venues

J. Open Source Softw.

J. Comput. Phys.

Comput. Phys. Commun.

Publications

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 (2024)
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 (2024)
Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
Multilevel Spectral Domain Decomposition. SIAM J. Sci. Comput. 45 (3) (2023)
Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl
Lowering the Entry Bar to HPC-Scale Uncertainty Quantification. CoRR (2023)
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) (2023)
Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl
Scalable multiscale-spectral GFEM for composite aero-structures. CoRR (2022)
Matthew Parno, Andrew Davis, Linus Seelinger
MUQ: The MIT Uncertainty Quantification Library. J. Open Source Softw. 6 (68) (2021)
Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl
High Performance Uncertainty Quantification with Parallelized Multilevel Markov Chain Monte Carlo. CoRR (2021)
Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow
Multilevel Spectral Domain Decomposition. CoRR (2021)
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)
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 (2020)
Linus Seelinger, Anne Reinarz, Robert Scheichl
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. CoRR (2019)
Linus Seelinger, Anne Reinarz, Robert Scheichl
A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems. PPAM (1) (2019)