Author Archives: JuliaDiffEq

DifferentialEquations.jl v1.9.1

By: JuliaDiffEq

Re-posted from: http://juliadiffeq.org/2017/04/07/features.html

DifferentialEquations v1.9.1 is a feature update which, well, brings a lot of new
features. But before we get started, there is one thing to highlight:

DifferentialEquations.jl Workshop at JuliaCon 2017

By: JuliaDiffEq

Re-posted from: http://juliadiffeq.org/2017/04/04/juliacon.html

There will be a workshop on DifferentialEquations.jl at this year’s JuliaCon!
The title is “The Unique Features and Performance of DifferentialEquations.jl”.
The goal will be to teach new users how to solve a wide variety of differential
equations, and show how to achieve the best possible performance. I hope to lead
users through an example problem: start with ODEs and build a simple model. I
will show the tools for analyzing the solution to ODEs, show how to choose the
best solver for your problem, show how to use non-standard features like arbitrary
precision arithmetic. From there, we seamlessly flow into more in-depth
analysis and models. We will start estimating parameters of the ODEs, and then
make the models more realistic by adding delays, stochasticity (randomness), and
Gillespie models (discrete stochastic models related to differential equations),
and running stochastic Monte Carlo experiments in parallel (in a way that will
automatically parallelizes across multiple nodes of an HPC!).

DifferentialEquations.jl v1.8.0

By: JuliaDiffEq

Re-posted from: http://juliadiffeq.org/2017/02/09/interps.html

DifferentialEquations.jl v1.8.0 is a new release for the JuliaDiffEq ecosystem.
As promised, the API is stable and there should be no breaking changes. The tag
PRs have been opened and it will takes a couple days/weeks for this to be available.
For an early preview, see the latest documentation.
When the release is available, a new version of the documentation will be tagged.