conda-forge.org : pybobyqa
Py-BOBYQA is a flexible package for solving bound-constrained general objective minimization, without requiring derivatives of the objective. At its core, it is a Python implementation of the BOBYQA algorithm by Powell, but Py-BOBYQA has extra features improving its performance on some problems (see the papers below for details). Py-BOBYQA is particularly useful when evaluations of the objective function are expensive and/or noisy.
Registry
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Source
- JSON
- codemeta.json
purl: pkg:conda/pybobyqa?repository_url=https://conda-forge.org
Keywords:
nonlinear-optimization
, numerical-analysis
, numerical-methods
, numerical-optimization
, optimization
, optimization-algorithms
, python
, scientific-computing
License: GPL-3.0-or-later
Latest release: over 3 years ago
First release: over 3 years ago
Stars: 89 on GitHub
Forks: 19 on GitHub
Total Commits: 81
Committers: 7
Average commits per author: 11.571
Development Distribution Score (DDS): 0.568
More commit stats: commits.ecosyste.ms
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Last synced: 25 days ago