Show HN: Visualizing Maps in R^3
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Show HN: Visualizing Maps in R^3
1–10 of 10 posts
Re: Show HN: Visualizing Maps in R^3
#2Might make sense to use two coordinate systems for source and target?
Re: Show HN: Visualizing Maps in R^3
#3Re: Show HN: Visualizing Maps in R^3
#4Re: Show HN: Visualizing Maps in R^3
#5R^3 contains R^2 and R, but I can't change the view to just 2D or 1D, so why call it R^3?
Re: Show HN: Visualizing Maps in R^3
#6Nitpicky, but calling something R^3 outside of an academic context when '3D' suffices leaves me feeling oversold and underdelivered. This is 3-dimensional, and no further info is added with R^3 while only making it slightly less approachable. R^3 contains R^2 and R, but I can't change the view to just 2D or 1D, so why call it R^3?
I would see "visualizing maps in 3D" and think "oh so like Google Earth?"
Re: Show HN: Visualizing Maps in R^3
#7Nitpicky, but calling something R^3 outside of an academic context when '3D' suffices leaves me feeling oversold and underdelivered. This is 3-dimensional, and no further info is added with R^3 while only making it slightly less approachable. R^3 contains R^2 and R, but I can't change the view to just 2D or 1D, so why call it R^3?
Re: Show HN: Visualizing Maps in R^3
#8Nitpicky, but calling something R^3 outside of an academic context when '3D' suffices leaves me feeling oversold and underdelivered. This is 3-dimensional, and no further info is added with R^3 while only making it slightly less approachable. R^3 contains R^2 and R, but I can't change the view to just 2D or 1D, so why call it R^3?
My original goal was to visualize homeomorphisms in R^3 and verify closed forms for some of them. I'm used to calling it R^3 because there are many 3-dimensional spaces (C^3, {0,1}^3, etc) and there are many embeddings into R^3 that are homeomorphic (e.g. D^2 is 'z==A and x^2 + y^2 < 1' for every A). So the context is a bit academic. Visualizing a continuous deformation ended up being pretty cool -- I ended up "inventing" a traversal in a metric space that is very similar to BFS, but works for metric spaces, by repeatedly selecting a subset of it fitting in a progressively bigger open ball. You might know a concept pretty similar to this as filtration.
Re: Show HN: Visualizing Maps in R^3
#9Re: Show HN: Visualizing Maps in R^3
#10Nitpicky, but calling something R^3 outside of an academic context when '3D' suffices leaves me feeling oversold and underdelivered. This is 3-dimensional, and no further info is added with R^3 while only making it slightly less approachable. R^3 contains R^2 and R, but I can't change the view to just 2D or 1D, so why call it R^3?