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SnobFit - Stable Noisy Optimization by Branch and FIT

Project description

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):
  1. Neumaier, University of Vienna
Copyright of modifications:
UC Regents, Berkeley
Official website:
https://www.mat.univie.ac.at/~neum/software/snobfit/
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

Project details


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Files for SQSnobFit, version 0.4.0
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