Core features <Core features_>
_Installation <Installation_>
_Examples <Examples_>
_Project Structure <Project Structure_>
_Documentation <Documentation_>
_Getting started <Getting started_>
_License <License_>
_Contacts <Contacts_>
_Citation <Citation_>
_TEDEouS can be installed with pip
::
$ git clone https://github.com/ITMO-NSS-team/torch_DE_solver.git $ cd torch_DE_solver $ pip install -r requirements.txt
After the TEDEouS is installed the user may refer to various examples that are in examples forlder. ::
$ cd examples
Every example is designed such that the boxplots of the launches are commented and the preliminary results are not shown, but stored in separate folders.
::
$ python example_ODE_Legendre.py
or ::
$ python example_ODE_Legendre_autograd.py
::
$ python example_Painleve_I.py
::
$ python example_wave_paper_autograd.py
::
$ python example_wave_physics.py
::
$ python example_heat.py
::
$ python example_KdV.py
::
$ python example_KdV_periodic.py
::
$ python example_Burgers_paper.py
Stable version is located in the master branch.
https://torch-de-solver.readthedocs.io/en/docs/index.html
Schroedinger equation example step-by-step https://torch-de-solver.readthedocs.io/en/docs/tedeous/examples/schrodinger.html
TEDEouS is distributed under BSD-3 licence found in LICENCE file
::
@article{hvatov2023solver, AUTHOR = {Hvatov, Alexander}, TITLE = {Automated Differential Equation Solver Based on the Parametric Approximation Optimization}, JOURNAL = {Mathematics}, VOLUME = {11}, YEAR = {2023}, NUMBER = {8}, ARTICLE-NUMBER = {1787}, URL = {https://www.mdpi.com/2227-7390/11/8/1787}, ISSN = {2227-7390}, DOI = {10.3390/math11081787} }