SnobFit - Stable Noisy Optimization by Branch and FIT
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:
- 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
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size SQSnobFit-0.4.0.tar.gz (28.4 kB)||File type Source||Python version None||Upload date||Hashes View|