Christian Schilling
Christian Schilling
Closing because we probably do not need this.
With the change in #3260 we can add a recipe like this: ```julia using LazySets, Plots import MiniQhull B = BallInf(zeros(3), 1.0) V, C = LazySets.delaunay_vlist_connectivity(B; compute_triangles_3d=true) C = Matrix{Int}(C...
I close this since, as explained, I consider this a floating-point issue and not a bug in the code.
Yes, I think this is not on the list.
I am not really using it. We just test our functionality also with `Rational`s and so I stumbled upon this issue. In any case, the behavior seems wrong to me,...
I noticed that this crashes in the latest release. Maybe it is better that way instead of giving the (intuitively) wrong result. ```julia # 0.20 julia> interval(2) ≈ interval(2-1e-10) false...
Below is a simplified version. It definitely has to do with presolve in GLPK, so this might be the wrong place to report. If you look at this plot, ...
Here is another example. I first compute the convex hull of the two polygons below and then call `detecthlinearity`. Again this is problem does not occur without the `presolve` option....
Nope, sorry.
I reduced the input a bit (unfortunately still 8-dimensional). ```julia vP = [zeros(8)]; vQ = [ zeros(8), [0.2697646549, 0.582602434, 0.044249395, 0.3243733749, 0.279717666, 0.040712222, 0.423054165, 0.00203898], [0.2697646549, 0.582602434, 0.044249395, 0, 0,...