NLDESA - Nonlinear Differential Equation Stability Analysis
This is a Python package for the stability analysis of nonlinear differential equations using JAX [1] and pyDMD [2] [3]. The package is still in development and is not yet ready for use.
Authors: João Biu (joaopedrofbiu@tecnico.ulisboa.pt), Miguel Lameiras (miguel.lameiras@tecnico.ulisboa.pt)
[1] https://github.com/google/jax
[2] Demo et al., (2018). PyDMD: Python Dynamic Mode Decomposition. Journal of Open Source Software, 3(22), 530, https://doi.org/10.21105/joss.00530 (https://github.com/PyDMD/PyDMD.git)
Installation
Using pip:
pip install nldesa
For developers
- Clone the repository
cd NLDESA && pip install -e .
Metadata
Release files for nldesa 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nldesa-0.0.3.tar.gz | 6.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nldesa-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 kB
Release files / nldesa-0.0.3.tar.gz
| Download URL | nldesa-0.0.3.tar.gz |
|---|---|
| Size | 6.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.11.5
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Release files / nldesa-0.0.3-py3-none-any.whl
| Download URL | nldesa-0.0.3-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
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