John Travers

An easy approach to parallelisation which would be useful, is to ask the user (caller) to calculate the fitness for many individuals at once. Then the user can simply parallelise...

I'd find this really useful.

I already checked it again on this version: ``` Julia Version 0.2.0-prerelease+3265 Commit 92b03a5 2013-08-15 06:55:56 UTC Platform Info: System: Linux (x86_64-linux-gnu) WORD_SIZE: 64 BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY) LAPACK:...

Some more info. Using the Agg backend doesn't have this problem: ``` julia> using PyCall julia> @pyimport matplotlib julia> matplotlib.use("Agg") julia> @pyimport pylab as plt julia> plt.plot([1,2,3]) julia> 1.0 1.0...

I haven't used this for a while, instead I have used the complex support in cusp: https://github.com/cusplibrary/cusplibrary

Is it possible to use the multi processing as a work around do you think (I might try this tonight). Basically I would change my non GUI worker thread to...

It might be sufficient, to be honest I haven't tried porting my code over to see. Here is what I'm wanting to do: I have a GUI that controls some...

Hi I'm trying to test this on a RPi 3 A+. I can connect to the wifi network, I can also log in via ssh, grab an image with raspistill...

OK, my mistake, it works fine if I use the artifact from https://github.com/publiclab/pi-builder/pull/54 I have to admit, it has been pretty hard working out what is the best/latest image to...

@Azercoco I am very interested in this. I have my own RK4IP implementation based on Tsit5, and it works very well. But I get much better accuracy (for a given...