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Authors
Jakob Duerrwaechter (0000-0001-8961-5340), Thomas Kuhn, Fabian Meyer, Andrea Beck, Claus-Dieter Munz
Citation
Duerrwaechter et al., (2023). PoUnce: A framework for automatized uncertainty quantification simulations on high-performance clusters. Journal of Open Source Software, 8(82), 4683, https://doi.org/10.21105/joss.04683
@article{Duerrwaechter2023,
doi = {10.21105/joss.04683},
url = {https://doi.org/10.21105/joss.04683},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {82},
pages = {4683},
author = {Jakob Duerrwaechter and Thomas Kuhn and Fabian Meyer and Andrea Beck and Claus-Dieter Munz},
title = {PoUnce: A framework for automatized uncertainty quantification simulations on high-performance clusters},
journal = {Journal of Open Source Software}
}
Tags
Uncertainty quantification High performance computing Mulitlevel Monte Carlo Multifidelity Monte Carlo
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This work is licensed under a Creative Commons Attribution 4.0 International License.
