Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
Project description
ATHENA is a Python package for reduction of high dimensional parameter spaces in the context of numerical analysis. It allows the use of several dimensionality reduction techniques such as Active Subspaces (AS), Kernel-based Active Subspaces (KAS), and Nonlinear Level-set Learning (NLL).
It is particularly suited for the study of parametric PDEs, for sensitivity analysis, and for the approximation of engineering quantities of interest. It can handle both scalar and vectorial high dimensional functions, making it a useful tool also to reduce the burden of computational intensive optimization tasks.
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
Built Distribution
File details
Details for the file athena-mathlab-0.1.2.post2303.tar.gz.
File metadata
- Download URL: athena-mathlab-0.1.2.post2303.tar.gz
- Upload date:
- Size: 55.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | e74920d443248eda43cfaba14afc9f0e05498c4c3ecae318fc24920301780f1f |
|
| MD5 | 3467acf1003d46a58010a3651c8db602 |
|
| BLAKE2b-256 | 8cb7708dfa0433839aa5c8f847876737b396c9c7c55ea7ff7145bc6e89016cee |
File details
Details for the file athena_mathlab-0.1.2.post2303-py3-none-any.whl.
File metadata
- Download URL: athena_mathlab-0.1.2.post2303-py3-none-any.whl
- Upload date:
- Size: 45.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 215947ab2411f9f08bd27c7c30f17e3e37f63789b4fd4d96d04a821f60db47f2 |
|
| MD5 | 6ddacba269c6835d1a02ecd1654747b5 |
|
| BLAKE2b-256 | a4f4c93c1a721c1a7ede1c867f979510ff2514ee4914228f66fbd8ca403dd40b |
