3236970
doi
10.5281/zenodo.3236970
oai:zenodo.org:3236970
Christian Ruyer-Quil
Université Savoie Mont-Blanc
scikit-finite-diff, a new tool for PDE solving
Nicolas Cellier
Université Savoie Mont-Blanc
info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
python
pde
finite difference
physical modelling
<p>Scikit-FDiff is a new tool, written in pure Python, that focus on reducing the time between the developpement of the mathematical model and the numerical solving.</p>
<p>It allows an easy and automatic finite difference discretization, thanks to a symbolic processing that can deal with systems of multi-dimensional partial differential equation with complex boundary conditions.</p>
<p>Using finite differences and the method of lines, it allows the transformation of the original PDE into an ODE, provinding a fast computation of the temporal evolution vector and the Jacobian matrix. The later is pre-computed in a symbolic way and sparsed by nature. It can be evaluated with as few computational ressources as possible, allowing the use of implicit and explicit solvers at a reasoneable cost.</p>
Zenodo
2019-06-02
info:eu-repo/semantics/other
2597925
0.6.0
1598703115.802371
3721417
md5:bfeac74ed6037716bbeb1a5079f27475
https://zenodo.org/records/3236970/files/scikit-fdiff-master.tar.gz
public
10.5281/zenodo.2597925
isVersionOf
doi