Linus Seelinger

According to our database, Linus Seelinger authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Democratizing uncertainty quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, 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

J. Comput. Phys., 2025

2024

Scalable multiscale-spectral GFEM with an application to composite aero-structures.

Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl

J. Comput. Phys., 2024

Democratizing Uncertainty Quantification.

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

CoRR, 2024

2023

Multilevel Spectral Domain Decomposition.

Peter Bastian, Robert Scheichl, Linus Seelinger, Arne Strehlow

SIAM J. Sci. Comput., June, 2023

UM-Bridge: Uncertainty quantification and modeling bridge.

Linus Seelinger, Vivian Cheng-Seelinger, Andrew D. Davis, Matthew D. Parno, Anne Reinarz

J. Open Source Softw., March, 2023

Lowering the Entry Bar to HPC-Scale Uncertainty Quantification.

Linus Seelinger, Anne Reinarz, Jean Bénézech, Mikkel Bue Lykkegaard, Lorenzo Tamellini, Robert Scheichl

CoRR, 2023

2022

Scalable multiscale-spectral GFEM for composite aero-structures.

Jean Bénézech, Linus Seelinger, Peter Bastian, Richard Butler, Timothy Dodwell, Chupeng Ma, Robert Scheichl

CoRR, 2022

2021

MUQ: The MIT Uncertainty Quantification Library.

Matthew D. Parno, Andrew D. Davis, Linus Seelinger

J. Open Source Softw., 2021

High performance uncertainty quantification with parallelized multilevel Markov chain Monte Carlo.

Linus Seelinger, Anne Reinarz, Leonhard Rannabauer, Michael Bader, Peter Bastian, Robert Scheichl

Proceedings of the International Conference for High Performance Computing, 2021

2020

High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites.

Richard Butler, Tim J. Dodwell, Anne Reinarz, A. Sandhu, Robert Scheichl, Linus Seelinger

Comput. Phys. Commun., 2020

2019

A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems.

Linus Seelinger, Anne Reinarz, Robert Scheichl

Proceedings of the Parallel Processing and Applied Mathematics, 2019