A collection of classical and nature-inspired optimization algorithms implemented in Python.
Project description
The author of this package has not provided a project description
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
optimizelab-0.1.1.tar.gz
(12.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file optimizelab-0.1.1.tar.gz.
File metadata
- Download URL: optimizelab-0.1.1.tar.gz
- Upload date:
- Size: 12.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f3c4f44a01c15182b41177ed1e5639e7ab26c0093819ea0c86272b86202d8ebb
|
|
| MD5 |
9b84d2207628c2a51a46a9339db56867
|
|
| BLAKE2b-256 |
329ff34f19ff71d9aa269fb511a11428c11ae9d14b50740092fbe082fa2c31a8
|
File details
Details for the file optimizelab-0.1.1-py3-none-any.whl.
File metadata
- Download URL: optimizelab-0.1.1-py3-none-any.whl
- Upload date:
- Size: 16.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8db8b6a8c13a98ef699dc13b5f94226294d5177be6af385eac2f4638ce906afa
|
|
| MD5 |
822320b5483b0ed476b46590df040b33
|
|
| BLAKE2b-256 |
9c1a196a831aeb308c3a2b71fcaa74477d4caff0f581d5e5583f4f7f4dbbd4cf
|