Parameterised linear multi-step methods for the solution of Ordinary Differential Equations (ODEs).
Project description
MODESpy
MODESpy implements generic methods for constructing and using parameterised linear multi-step methods to solve Ordinary Differential Equation Initial Value Problems (ODE IVPs). It is a Python implementation based on the MODES toolbox (Version 1.0.0) written in MATLAB from Lund University (refer to documentation for details).
The current version is 0.9.0.
Installation
MODESpy relies on the installation of SciPy and NumPy, see this link.
Install MODESpy using the typical pip installation methods, for example:
- Using a shell with pip directly and root access:
$ pip install modespy
- Using a windows prompt as a user only:
C:\> py -m pip install --user modespy
Documentation 
Documentation can be found at ReadTheDocs.
Source Code
The source code is available in the Github repository.
License 
MODESPy is provided free of charge for use under the conditions of the MIT license.
See the license file for more details.
Copyright 2020 © Eric J. Whitney
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
