About libROM

Please cite with:

@misc{ doecode_24508,
title = {libROM},
author = {Choi, Youngsoo and Arrighi, William J. and Copeland, Dylan M. and Anderson, Robert W. and Oxberry, Geoffrey M.},
abstractNote = {libROM is a collection of C++ classes that compute reduced order models and hyperreduced order models for systems of ordinary differential equations. libROM includes parallel, adaptive methods for proper orthogonal decomposition, and parallel, non-adaptive methods for hyperreduction using the discrete empirical interpolation method.},
doi = {10.11578/dc.20190408.3},
url = {https://doi.org/10.11578/dc.20190408.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20190408.3}},
year = {2019},
month = {oct}
}

Contributors

License


This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore Laboratory under Contract DE-AC52-07NA27344.

Software release number: LLNL-CODE-766763.

DOI: 10.11578/dc.20190408.3.

Disclaimer

This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or Lawrence Livermore National Security, LLC. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or Lawrence Livermore National Security, LLC, and shall not be used for advertising or product endorsement purposes.


Website built with MkDocs, Bootstrap and Bootswatch. Hosted on GitHub.