| Metadata-Version: |
2.1 |
| Name: |
lmfit |
| Version: |
1.3.1 |
| Summary: |
Least-Squares Minimization with Bounds and Constraints |
| Author-Email: |
LMFit Development Team <matt.newville[at]gmail.com> |
| Project-Url: |
Homepage, https://lmfit.github.io//lmfit-py/ |
| Project-Url: |
Documentation, https://lmfit.github.io/lmfit-py/ |
| Project-Url: |
Changelog, https://lmfit.github.io/lmfit-py/whatsnew.html |
| License: |
BSD-3
Copyright 2022 Matthew Newville, The University of Chicago
Renee Otten, Brandeis University
Till Stensitzki, Freie Universitat Berlin
A. R. J. Nelson, Australian Nuclear Science and Technology Organisation
Antonino Ingargiola, University of California, Los Angeles
Daniel B. Allen, Johns Hopkins University
Michal Rawlik, Eidgenossische Technische Hochschule, Zurich
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from this
software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
POSSIBILITY OF SUCH DAMAGE.
Some code has been taken from the scipy library whose licence is below.
Copyright (c) 2001, 2002 Enthought, Inc.
All rights reserved.
Copyright (c) 2003-2019 SciPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
a. Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
b. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
c. Neither the name of Enthought nor the names of the SciPy Developers
may be used to endorse or promote products derived from this software
without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS
BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY,
OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
THE POSSIBILITY OF SUCH DAMAGE.
Some code has been taken from the AMPGO library of Andrea Gavana, which was
released under a MIT license.
|
| Keywords: |
curve-fitting, least-squares minimization |
| Classifier: |
Development Status :: 5 - Production/Stable |
| Classifier: |
Intended Audience :: Science/Research |
| Classifier: |
Topic :: Scientific/Engineering |
| Classifier: |
License :: OSI Approved :: BSD License |
| Classifier: |
Operating System :: OS Independent |
| Classifier: |
Programming Language :: Python :: 3 |
| Classifier: |
Programming Language :: Python :: 3 :: Only |
| Classifier: |
Programming Language :: Python :: 3.8 |
| Classifier: |
Programming Language :: Python :: 3.9 |
| Classifier: |
Programming Language :: Python :: 3.10 |
| Classifier: |
Programming Language :: Python :: 3.11 |
| Classifier: |
Programming Language :: Python :: 3.12 |
| Classifier: |
Programming Language :: Python :: Implementation :: CPython |
| Classifier: |
Programming Language :: Python :: Implementation :: PyPy |
| Requires-Python: |
>=3.8 |
| Requires-Dist: |
asteval (>=0.9.28) |
| Requires-Dist: |
numpy (>=1.19) |
| Requires-Dist: |
scipy (>=1.6) |
| Requires-Dist: |
uncertainties (>=3.1.4) |
| Requires-Dist: |
dill (>=0.3.4) |
| Requires-Dist: |
lmfit[dev,doc,test]; extra == "all" |
| Requires-Dist: |
build; extra == "dev" |
| Requires-Dist: |
check-wheel-contents; extra == "dev" |
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flake8-pyproject; extra == "dev" |
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pre-commit; extra == "dev" |
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twine; extra == "dev" |
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emcee (>=3.0.0); extra == "doc" |
| Requires-Dist: |
ipykernel; extra == "doc" |
| Requires-Dist: |
jupyter-sphinx (>=0.2.4); extra == "doc" |
| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
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| Requires-Dist: |
pytest; extra == "test" |
| Requires-Dist: |
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| Provides-Extra: |
all |
| Provides-Extra: |
dev |
| Provides-Extra: |
doc |
| Provides-Extra: |
test |
| Description-Content-Type: |
text/x-rst |
| License-File: |
LICENSE |
| License-File: |
AUTHORS.txt |