Views provided by UsageCounts
doi: 10.5281/zenodo.13897
This is a part of the software used to carry out the experiments in [M. Ohlberger, F. Schindler, "Error control for the localized reduced basis multi-scale method with adaptive on-line enrichment", preprint, arXiv:1501.05202v1 [math.NA], 2015]. This snapshot was taken from a fork (https://github.com/ftalbrecht/pymor) of the official pyMOR repository (https://pymor.org).
{"references": ["M. Ohlberger, F. Schindler, \"Error control for the localized reduced basis multi-scale method with adaptive on-line enrichment\", preprint, arXiv:1501.05202v1 [math.NA], 2015."]}
python, MOR, model reduction, RB, reduced basis
python, MOR, model reduction, RB, reduced basis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 |

Views provided by UsageCounts