A Python library for developing customized optimization algorithms under general paradigms.
Project description
A Python library for developing customized optimization algorithms under general paradigms like simulated annealing and branch and bound. Also features continuous training, so algorithms can be run multiple times and resume from where they left off in previous runs.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
optimizn-0.0.23.tar.gz
(41.0 kB
view hashes)
Built Distribution
optimizn-0.0.23-py3-none-any.whl
(59.1 kB
view hashes)
Close
Hashes for optimizn-0.0.23-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cea93983d9c0ca56983adc790f57b32d43160295c40ebf6fe5b25988907c03f9 |
|
MD5 | cdca0f9b3540593f36863824154bf1ad |
|
BLAKE2b-256 | c76765d62efd27ef649a1eb38d6e4f919e1b1f2edd4531bd5a1cd4f5e52d0cb8 |