Implementation of Auto-differentiation within the Harvard University AC207 Systems Development graduate course.
Project description
team30
Project repo
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
autodiff30-0.0.6.tar.gz
(7.0 kB
view details)
Built Distribution
File details
Details for the file autodiff30-0.0.6.tar.gz
.
File metadata
- Download URL: autodiff30-0.0.6.tar.gz
- Upload date:
- Size: 7.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3f21741f513816a6c8aab914548e00e7b4fe282b771558181d29ddfd64b573dd |
|
MD5 | 8fa7c47ea48506b24c7b7a7f806ae945 |
|
BLAKE2b-256 | a0774ddd5e63e451e2dfd5252f882ed19f42aa110a7a5d9d1fbe9ea616ebe099 |
File details
Details for the file autodiff30-0.0.6-py3-none-any.whl
.
File metadata
- Download URL: autodiff30-0.0.6-py3-none-any.whl
- Upload date:
- Size: 7.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | de78574f74668741ec60c26c76a25da6fc3fbee56c567bf4d6a6b8f734ca06ce |
|
MD5 | 632219a9eda49b20aa75915568528c2b |
|
BLAKE2b-256 | 72ae59c0f99596525f5a2a5777430328dc0f32f0bd542c9dffa9de111494e02b |