Algorithm for performing integral elimination for nonlinear integral equations
Project description
IntegralElimination
This package implements the integral elimination algortihm described in :
- François Lemaire and Louis Roussel. Contribution to Integral Elimination. Accepted at CASC 2024. Apr. 2024. https://hal.science/hal-04570612
The source code is availaible at :
https://codeberg.org/louis-roussel/IntegralElimination
Installation
- Using pip
python -m pip install IntegralElimination
- Or by building and installing the package
python -m pip install .
How to use ?
Examples are available in the examples folder.
Details on the implentation
- This implementation in Python uses the SymPy package.
- The functions implemented are as close as possible to those in the article above.
- A slight modification as been made to the update_exp function to correctly handle exponentials that have already been defined.
Contact
- Louis Roussel (louis.roussel@univ-lille.fr), Université de Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France
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
integralelimination-0.2.3.tar.gz
(34.4 kB
view details)
Built Distribution
File details
Details for the file integralelimination-0.2.3.tar.gz
.
File metadata
- Download URL: integralelimination-0.2.3.tar.gz
- Upload date:
- Size: 34.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3ff0e7f4481057b7fe724fa8d0d30f76eec5b7cf646fa3e05761b3700be1e518 |
|
MD5 | 68cd4db7f1a13c6676b6d8badb238d5f |
|
BLAKE2b-256 | bf344355f68098a9f2f7ce75bb8cb1648e8f3971045b13690a3d4fb5f0fd8db0 |
File details
Details for the file IntegralElimination-0.2.3-py3-none-any.whl
.
File metadata
- Download URL: IntegralElimination-0.2.3-py3-none-any.whl
- Upload date:
- Size: 35.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 89586b44378475d3378de68218ff38797979fbef0376ea27ec0751a729ea9cba |
|
MD5 | 0f6677889870bcd82cbc7df5ec8a7816 |
|
BLAKE2b-256 | 1bc53a01aa1a1f44fc38cb52af51e42dcbdcccd9c11c84597b1a161f1593bb72 |