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License: https://opensource.org/licenses/BSD-3-Clause
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FitBenchmarking: an open source Python package comparing data fitting software

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 21 Jul 2023Publisher:Zenodo
Authors: Markvardsen, Anders; Rees, Tyrone; Wathen, Michael; Lister, Andrew; Farmer, Jessica; Farooq, Rabiya; Kitenge, Joshua; +12 Authors

doi: 10.5281/zenodo.8171192 , 10.5281/zenodo.14224242 , 10.5281/zenodo.4738576 , 10.5281/zenodo.11198140 , 10.5281/zenodo.15546207 , 10.5281/zenodo.8225982

FitBenchmarking: an open source Python package comparing data fitting software

Abstract

FitBenchmarking is an open source Python package that was developed to compare how different nonlinear least squares software fitting packages perform on various fitting problems.

If you use this software, please cite it using the metadata from this file.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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