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DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia Cover

DifferentialEquations.jl – A Performant and Feature-Rich Ecosystem for Solving Differential Equations in Julia

Journal of Open Research Software
Volume 5 (2017): Issue 1
By: Christopher Rackauckas and  Qing Nie  
Open Access
|May 2017
Figures & tables

Figures & Tables

Figure 1

Example of the ODE plot recipe. This plot was created using the PyPlot backend through Plots.jl. Shown is the solution to the 4 × 2 ODE with f(t,u) = Au where A is given in the code. Each line corresponds to one component of the matrix over time.

DOI: https://doi.org/10.5334/jors.151 | Journal eISSN: 2049-9647
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Language: English
Submitted on: Sep 29, 2016
Accepted on: May 15, 2017
Published on: May 25, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Julia,
ordinary differential equations,
stochastic differential equations,
partial differential equations,
multiple dispatch,
metaprogramming,
high-precision,
multithreading

© 2017 Christopher Rackauckas, Qing Nie, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 5 (2017): Issue 1
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