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-0.2.2.tar.gz
(32.0 kB
view details)
Built Distribution
File details
Details for the file integralelimination-0.2.2.tar.gz
.
File metadata
- Download URL: integralelimination-0.2.2.tar.gz
- Upload date:
- Size: 32.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 107823310c66dde6cf9f58b38c65f2d6e3ea6ec4d44d27d461bf965cd4967baf |
|
MD5 | e799436e55d54dc0a08d95546625c89d |
|
BLAKE2b-256 | 031ad343c535962f9da960b7cad79a0082ac719fd5a6ef3126a5738f6a293c20 |
File details
Details for the file IntegralElimination-0.2.2-py3-none-any.whl
.
File metadata
- Download URL: IntegralElimination-0.2.2-py3-none-any.whl
- Upload date:
- Size: 33.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1fadc0328170803708dcb016239bf1ba3cb59e07edfcf1dfa7f14aa22c463e11 |
|
MD5 | 63120cba72296878372459b4eaea0ff7 |
|
BLAKE2b-256 | cf2e6c8e8fdb5c7211ac299a4231f421cf7b5a713248acdfa743b3c159fba0e8 |