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Cited by 1,680

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LMFIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python

Open access
Matt Newville, Renee Otten, Andrew Nelson, Till Stensitzki, Antonino Ingargiola, Dan Allan, Austin Fox, Faustin Carter, Michał, Ray Osborn, Dima Pustakhod, Sebastian Weigand, lneuhaus, Andrey I. Aristov, Glenn, Mark, mgunyho, Christoph Deil, Allan L. R. Hansen, Gustavo Pasquevich, Nathan Leon Foks, Nicholas Zobrist, Oliver Frost, Stuermer, Jean-Christophe Jaskula, Shane Caldwell, Pieter T. Eendebak, Matteo Pompili, Jens Hedegaard Nielsen, Arun Persaud·2014·Zenodo (CERN European Organization for Nuclear Research)

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OpenAlex · 10.5281/zenodo.598352

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Metadata

Authors
Newville, M., Otten, R., Nelson, A., Stensitzki, T., Ingargiola, A., Allan, D., Fox, A., Carter, F., Michał, Osborn, R., Pustakhod, D., Weigand, S., lneuhaus, Aristov, A. I., Glenn, Mark, mgunyho, Deil, C., Hansen, A. L. R., Pasquevich, G., Foks, N. L., Zobrist, N., Frost, O., Stuermer, Jaskula, J.-C., Caldwell, S., Eendebak, P. T., Pompili, M., Nielsen, J. H., & Persaud, A.
Venue
Zenodo (CERN European Organization for Nuclear Research)
Publisher
European Organization for Nuclear Research
Published
2014-09-21
OpenAlex
W6912592130
Cited by
1,680
References
0
Type
software
Language
en
Open access
green

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CoChat. (2026). Citation check: LMFIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python. https://app.cochat.ai/papers/10.5281/zenodo.598352
The paper
Newville, M., Otten, R., Nelson, A., Stensitzki, T., Ingargiola, A., Allan, D., Fox, A., Carter, F., Michał, Osborn, R., Pustakhod, D., Weigand, S., lneuhaus, Aristov, A. I., Glenn, Mark, mgunyho, Deil, C., Hansen, A. L. R., . . . Persaud, A. (2014). LMFIT: Non-Linear Least-Square Minimization and Curve-Fitting for Python. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.598352

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.