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J. M.
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Regarding the coordinate-dropping approach, have you already seen the [technical report of Voelker *et al.*][1]? As for sampling over a ball, it would be interesting to compare with [the approach of Barthe *et al.*][2], which uses a (multi)normal...
The definitions I came across all assumed that the adjacency matrices are unweighted. (Look at e.g. the definition for the conormal/disjunctive product, which explicitly assumes 0-1 matrices.) There may be a way to modify these to work consistently...
The following solution works, but is way too hacky for my taste: ListLinePlot[data, PlotLegends -> Automatic, PlotMarkers -> Map[{MapAt[{Dashing[{}], #} &, #, {1}], Offset[10]} &, ...
For people interested in treating [(epi/hypo)trochoids](https://mathworld.wolfram.com/Epitrochoid.html) as line [envelopes](https://mathworld.wolfram.com/Envelope.html), there are nice papers on this subject by...
A similar approach I take involves letting ParametricPlot[] do its adaptive sampling capabilities, instead of having to guess the stepsize needed for sampling the BSplineFunction[]. Then, it's a simple matter of extracting the points generated...
It took ~ 6 min. on the computer I am currently using. I imagine a computer with better specs will manage better.
Yes, it looks like one needs elliptic integrals to express it. What kind of answer were you expecting for it?