Juan López

This happens to me as well, but it dissapears by running julia with root permission. Hope this helps: ``` julia signal (11): Segmentation fault unknown function (ip: 0x32736) [1] 14234...

Would be nice to have a fix for this though, `Plots.jl` has this as a dependency

Sorry, I meant uses it as default backend.

I don't have much experience in distributed computing but I would like to make this happen. I have some questions about hooking the scheduler @mrocklin. In https://github.com/dask/distributed/issues/586#issue-183209753 you say: >...

> If I were trying to do this as a summer project I would probably start by seeing if reusing the Python worker with PyJulia is feasible. Yes, I agree....

What I tried to do was put short names on every keyword and solve any misunderstanding in the docs. There you can check anything you want. Is it too messy?...

Agreed. I'll be posting any recent changes I make here. If you can let me know of anything that violates convention it will be extremely helpful.

Some solvers do restrict, not explicitly but by using `KrylovSubspace.init!`. For example `cg!`: ```julia function init!{T}(K::KrylovSubspace{T}, v::Vector{T}) # K.v = Vector{T}[all(v.==zero(T)) ? v : v/norm(v)] K.v = Vector{T}[copy(v)] end ```...

I think this is a good place to talk about the return types of the new API. The extra data should look something like this: ``` Julia type ConvergenceHistory #It...