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Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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csu-hmc/opty: Version 1.2.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 Nov 2023Publisher:Zenodo
Authors: Jason K. Moore; Sam Brockie; Ton van den Bogert;
Code repository: https://github.com/csu-hmc/opty/tree/v1.2.0

doi: 10.5281/zenodo.1162869 , 10.5281/zenodo.10213874

csu-hmc/opty: Version 1.2.0

Abstract

Dropped support for Python 2.7, 3.6, & 3.7. Added support for Python 3.9, 3.10, & 3.11. Bumped minimum dependencies up to versions released around mid 2020, except for cyipopt which is set to 1.1.0 since that is the first version released on PyPi under the name cyipopt (instead of ipopt). Much faster symbolic Jacobian algorithm introduced. For constraints made up of hundreds of thousands SymPy operations there can be greater than 200X performance increase. logging.info() used for providing information to the user. Moved to Github Actions continous integration.

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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!
0
Average
Average
Average