DiffEqTutorials.jl

DiffEqTutorials.jl holds Jupyter notebooks showing how to utilize the software in the JuliaDiffEq ecosystem. This set of tutorials was made to complement the documentation and the devdocs by providing practical examples of the concepts in an interactive form. For more details, please consult the docs.

Viewing the Notebooks Locally

To view the notebooks locally and interact with the contents, use the following commands (requires IJulia):

Pkg.clone("https://github.com/JuliaDiffEq/DiffEqTutorials.jl")
using IJulia
notebook(dir=Pkg.dir("DiffEqTutorials"))

Table of Contents

The notebooks can be viewed remotely on Github or via nbviewer

• Plotting
  • Formatting the Plots
• Modeling Examples
  • Classical Physics Models
  • Conditional Dosing Example
  • Solving the Gierer-Meinhardt Equations
  • Outer Solar System Planetary Orbits
  • Kepler Problem Orbit
• Extra ODE Features
  • Faster Calculations via In-Place Operations
  • Solving Equations with Julia-Defined Types
  • Numbers with Uncertainties
  • Unit Check Arithmetic via Unitful.jl
  • Using General Tableau Methods
  • Feagin's Order 10, 12, and 14 Methods
  • Finding Maxima and Minima of DiffEq Solutions
• Extra FEM Features
  • Heat Equation System Differing Diffusion Constants