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Nov
20
comment RegionFunction generalized to plot a different colour/style for the largest expression
Is this question "closely related" or an actual duplicate of the one you linked to? It certainly looks like a duplicate to me, but I haven't voted to close yet in case I'm missing something.
Nov
20
revised Visualizing subgraphs while specifying the locations of vertexes
added 21 characters in body
Nov
20
revised Visualizing subgraphs while specifying the locations of vertexes
deleted 94 characters in body
Nov
20
answered Visualizing subgraphs while specifying the locations of vertexes
Nov
20
revised Weird behaviour when using Scale, Rotate in Graphics
simplified example, added workaround
Nov
19
comment What is wrong with this code?
You could just specify a PlotRange: i.stack.imgur.com/VvfsJ.png
Nov
19
asked Weird behaviour when using Scale, Rotate in Graphics
Nov
19
comment A counterintuitive RegionPlot behavior
Can you explain why you say they are consistent? I already said why they are not.
Nov
19
comment A counterintuitive RegionPlot behavior
I think you have some confusion. In the first plot you specify the range $\alpha\in[-1,0],\gamma\in[0,1]$ and then crop the result using PlotRange to $\alpha\in[0,1],\gamma\in[-1,0]$. These ranges are disjoint so it is not surprising that nothing is visible.
Nov
19
revised A counterintuitive RegionPlot behavior
edited tags
Nov
19
comment A counterintuitive RegionPlot behavior
On the [bugs] tag: "This tag is reserved for questions where the problem has been vetted by this community and the observed behavior is confirmed to be a bug. Please do not use this tag for new questions."
Nov
19
awarded  Enlightened
Nov
19
comment Obtain polygons describing all intersections of many polygons
Another problem with an image processing approach is that if two edges intersect at a small angle you will get a chain of disconnected pixels: i.stack.imgur.com/TmEtp.png
Nov
19
comment Obtain polygons describing all intersections of many polygons
You could use a binary encoding: assign each shape a colour that has exactly 1 nonzero bit, rasterize each on a black background, then use ImageAdd. But you can only distinguish up to 24 shapes.
Nov
19
awarded  Nice Answer
Nov
17
comment How to detect outlier in data of an unknown function $f(x)$
I don't think I would call the errors in your data outliers as such (i.stack.imgur.com/h6MwF.png). There seems to be a small systematic offset that comes and goes.
Nov
16
comment Visually Separating Cliques in Graphs
Instead of separating the cliques physically, have you considered colouring them using HighlightGraph, like in the example for FindGraphPartition?
Nov
16
comment Visually Separating Cliques in Graphs
Are your cliques disjoint, that is, no vertex belongs in more than one clique? Also, it would be nice if you could provide some example data.
Nov
15
revised Curve fitting by running through hundreds of models and return the one with best fit
added 9 characters in body
Nov
13
comment Is there any way to solve this convex-concave like optimization problem?
First of all the question is how to even represent an arbitrary probability distribution $g$ in a numerics-friendly way. You might divide $\mathbb R$ into a finite number of bins and represent $g$ as the vector of probability mass in each bin, then approximate the integrals by sums over the bins. At least that way, you'd end up with a finite-dimensional optimization problem.