numerous-solver 3.1.1

Numerous ODE solver

A jitable object-oriented ODE solver for numerical simulations

Overview:

Numerous solver is a fast, jitable, highly customizable, and object-oriented ODE (ordinary differential equations) solver.

How to get started

Install the package via pip install numerous-solver, or clone the git repository and install using the setup.py file.

Documentation

Please see the gitlab pages site for documentation.

Design philosophy

The numerous solver is the choice of ODE (ordinary differential equations) solver for numerous engine (https://github.com/fossilfree/numerous). It is developed following a set of principles:

• Object-oriented: A python-based solver should take advantage of the class structure of python. Numerous solver uses "models" and "interfaces" to manage the state-flow between the numerical model and the numerical solver.
• Customizable: Using "solver events", the solver can be customized to break the solver loop in order to read external data, save outputs to database, print status messages etc. This allows a great degree of customization.
• Support time- and state-events: Built-in support for time- and state-events to support advanced models, controllers and physics discontinuities.
• Jitable: Numerous solver may be compiled with numba (https://numba.pydata.org/) to, in some cases, increase speed. The build-in toolchain can assist the user to write (njit) compilable models.
• Extendable: Numerous solver currently supports 3 methods (RK45, BDF, Euler) and can be extended with new solve methods.
• Open-source: The code base is open for contributions.