
doi: 10.5281/zenodo.3949208 , 10.5281/zenodo.13832508 , 10.5281/zenodo.7637613 , 10.5281/zenodo.6841198 , 10.5281/zenodo.7695764 , 10.5281/zenodo.6850547 , 10.5281/zenodo.6916242 , 10.5281/zenodo.15157028 , 10.5281/zenodo.5831665 , 10.5281/zenodo.7794637 , 10.5281/zenodo.4281477 , 10.5281/zenodo.6388008 , 10.5281/zenodo.4034288 , 10.5281/zenodo.4041167 , 10.5281/zenodo.4733221 , 10.5281/zenodo.17448283 , 10.5281/zenodo.3951328 , 10.5281/zenodo.6788009 , 10.5281/zenodo.5203300 , 10.5281/zenodo.3949207 , 10.5281/zenodo.7630430 , 10.5281/zenodo.4283509 , 10.5281/zenodo.7750132 , 10.5281/zenodo.10638795 , 10.5281/zenodo.6387620 , 10.5281/zenodo.5136400 , 10.5281/zenodo.17447204 , 10.5281/zenodo.6330776 , 10.5281/zenodo.10636413 , 10.5281/zenodo.10601742 , 10.5281/zenodo.5068904 , 10.5281/zenodo.4532941 , 10.5281/zenodo.6902850 , 10.5281/zenodo.15156629 , 10.5281/zenodo.4310361 , 10.5281/zenodo.4731035 , 10.5281/zenodo.13923658 , 10.5281/zenodo.8070217 , 10.5281/zenodo.4359974 , 10.5281/zenodo.7436833 , 10.5281/zenodo.4386859 , 10.5281/zenodo.6389982 , 10.5281/zenodo.5561211 , 10.5281/zenodo.7115916 , 10.5281/zenodo.8249703 , 10.5281/zenodo.13902219 , 10.5281/zenodo.6927320 , 10.5281/zenodo.4460551 , 10.5281/zenodo.4759039 , 10.5281/zenodo.17565861 , 10.5281/zenodo.8191656 , 10.5281/zenodo.6998452 , 10.5281/zenodo.4047970 , 10.5281/zenodo.4375782 , 10.5281/zenodo.6954841 , 10.5281/zenodo.15154987 , 10.5281/zenodo.13371653 , 10.5281/zenodo.6676551
doi: 10.5281/zenodo.3949208 , 10.5281/zenodo.13832508 , 10.5281/zenodo.7637613 , 10.5281/zenodo.6841198 , 10.5281/zenodo.7695764 , 10.5281/zenodo.6850547 , 10.5281/zenodo.6916242 , 10.5281/zenodo.15157028 , 10.5281/zenodo.5831665 , 10.5281/zenodo.7794637 , 10.5281/zenodo.4281477 , 10.5281/zenodo.6388008 , 10.5281/zenodo.4034288 , 10.5281/zenodo.4041167 , 10.5281/zenodo.4733221 , 10.5281/zenodo.17448283 , 10.5281/zenodo.3951328 , 10.5281/zenodo.6788009 , 10.5281/zenodo.5203300 , 10.5281/zenodo.3949207 , 10.5281/zenodo.7630430 , 10.5281/zenodo.4283509 , 10.5281/zenodo.7750132 , 10.5281/zenodo.10638795 , 10.5281/zenodo.6387620 , 10.5281/zenodo.5136400 , 10.5281/zenodo.17447204 , 10.5281/zenodo.6330776 , 10.5281/zenodo.10636413 , 10.5281/zenodo.10601742 , 10.5281/zenodo.5068904 , 10.5281/zenodo.4532941 , 10.5281/zenodo.6902850 , 10.5281/zenodo.15156629 , 10.5281/zenodo.4310361 , 10.5281/zenodo.4731035 , 10.5281/zenodo.13923658 , 10.5281/zenodo.8070217 , 10.5281/zenodo.4359974 , 10.5281/zenodo.7436833 , 10.5281/zenodo.4386859 , 10.5281/zenodo.6389982 , 10.5281/zenodo.5561211 , 10.5281/zenodo.7115916 , 10.5281/zenodo.8249703 , 10.5281/zenodo.13902219 , 10.5281/zenodo.6927320 , 10.5281/zenodo.4460551 , 10.5281/zenodo.4759039 , 10.5281/zenodo.17565861 , 10.5281/zenodo.8191656 , 10.5281/zenodo.6998452 , 10.5281/zenodo.4047970 , 10.5281/zenodo.4375782 , 10.5281/zenodo.6954841 , 10.5281/zenodo.15154987 , 10.5281/zenodo.13371653 , 10.5281/zenodo.6676551
If you use this software, please cite it using the metadata from this file and the MINUIT paper at https://doi.org/10.1016/0010-4655(75)90039-9. This software includes source code under other licenses, see LICENSE in the repository for details.
iminuit is a Jupyter-friendly Python interface for the Minuit2 C++ library maintained by CERN's ROOT team.
Scikit-HEP, statistics, fitting, data analysis, optimization, C++, Python
Scikit-HEP, statistics, fitting, data analysis, optimization, C++, Python
| 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). | 80 | |
| 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. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
