Python Classes for Numerical Solution of PDE's

TL;DR

This paper introduces Python classes designed for efficiently solving partial differential equations and boundary value problems using numpy and scipy libraries.

Contribution

The paper presents new Python classes that simplify the numerical solution of PDEs and boundary value problems, leveraging existing scientific computing libraries.

Findings

Ease of solving PDEs with new Python classes

Integration with numpy and scipy for performance

Applicable to boundary value problems

Abstract

We announce some Python classes for numerical solution of partial differential equations, or boundary value problems of ordinary differential equations. These classes are built on routines in \texttt{numpy} and \texttt{scipy.sparse.linalg} (or \texttt{scipy.linalg} for smaller problems).