sdelib is a Python package (written in Python 3.5) for performing various actions on Ito stochastic differential equations (SDE). These actions include: 1) Input SDEs as SDEprob objects. 2) Solve SDEs with an SDEint class that performs numerical Ito integration on SDEprob objects. 3) Estimate strong and weak orders of convergence through a SDEanalysis class 4) Perform these actions either through creating a Python script which uses the above classes, or running gui.py which allows you to perform these actions quickly through a GUI.
sdelib was written as part of a Master’s thesis and is intended to be able to do simple actions on SDEs without requiring a lot of coding to do so.
This version requires Python 3 or later;
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