SnobFit - Stable Noisy Optimization by Branch and FIT
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Maintainer: Wim Lavrijsen
Classifiers
Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
Topic
- Scientific/Engineering
- Scientific/Engineering :: Chemistry
- Scientific/Engineering :: Mathematics
- Scientific/Engineering :: Physics
- Software Development
License
- Other/Proprietary License
Programming Language
- Python :: 2
- Python :: 2.7
- Python :: 3
- Python :: 3.6
- Python :: 3.7
- Python :: 3.8
Natural Language
- English
SnobFit is intended for optimizing on derivative-free, noisy, blackbox functions. This modified version has preset defaults as intended for hybrid quantum-classical algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.
This version of SNOBFIT was modified and redistributed with permission.
- Copyright of original (v2.1):
Neumaier, University of Vienna
- Copyright of modifications:
UC Regents, Berkeley
- Official website:
- Reference:
W. Huyer and A. Neumaier, “Snobfit - Stable Noisy Optimization by Branch and Fit”, ACM Trans. Math. Software 35 (2008), Article 9. https://www.mat.univie.ac.at/~neum/ms/snobfit.pdf
0.4.5
Nov 30, 2020
0.4.4
Sep 11, 2020
0.4.3
May 23, 2020
0.4.2
Apr 28, 2020
0.4.0
Jan 07, 2020
0.3.1
Dec 04, 2019
0.3
Jun 12, 2019
0.2
Mar 05, 2019
0.1
Feb 24, 2019
Files in release
No dependencies