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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:
W. Huyer and A. Neumaier, “Snobfit - Stable Noisy Optimization by Branch and Fit”, ACM Trans. Math. Software 35 (2008), Article 9.

Project details

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Files for SQSnobFit, version 0.4.5
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Filename, size SQSnobFit-0.4.5.tar.gz (29.1 kB) File type Source Python version None Upload date Hashes View

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