Unless I'm blind and just can't find one, it appears there is not yet a solid high-dimensional computational geometry package for Julia, like cddlib or the Multi-Parametric Toolbox for Matlab. I imagine a wrapper around cddlib would be fairly easy to write (perhaps even autogenerated), or you could go through Python and pycddlib as Miles just suggested. Translating the algorithm into Julia code would take a bit more effort, but give you a more powerful result that could likely work immediately with arbitrary-precision Julia types.
On Wednesday, April 9, 2014 11:27:43 PM UTC-7, Stéphane Laurent wrote: > > Thank you for these precious informations. The JuMP package looks very > awesome, I hope to give it a try soon. > > There was a Julia age during which BigInt(3)/BigInt(28) was equal to the > BigRational 3/28, why this feature has been removed ? > > It would be too long to explain what my R appli here > http://glimmer.rstudio.com/stla/ShinyIntrinsicMetric/ does but it returns > some Kantorovich distances in exact rational numbers, it would be sad if we > can't do this with Julia. > > By the way for another problem I need to get the vertices of the > polyhedron defined by the linear constraints, as with the cddlib library, > do you know how I could get that ? >
