Timeline for Measures of the complexity of a metric
Current License: CC BY-SA 2.5
12 events
when toggle format | what | by | license | comment | |
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Jul 22, 2010 at 9:07 | answer | added | Sebastian | timeline score: 3 | |
Jul 20, 2010 at 12:22 | vote | accept | Joseph O'Rourke | ||
Jul 20, 2010 at 12:22 | history | edited | Joseph O'Rourke | CC BY-SA 2.5 |
Summary addendum.
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Jul 20, 2010 at 3:39 | comment | added | Will Jagy | Here is the dude: math.tu-berlin.de/~bobenko | |
Jul 20, 2010 at 2:45 | answer | added | Suresh Venkat | timeline score: 1 | |
Jul 19, 2010 at 20:22 | answer | added | Robin Saunders | timeline score: 1 | |
Jul 19, 2010 at 20:17 | comment | added | Joseph O'Rourke | @DoubleJay: Thanks for mentioning the "Bregman divergence," new to me. | |
Jul 19, 2010 at 20:14 | comment | added | Joseph O'Rourke | @Deane: Good question! I think I want intrinsic, but I'm not really certain. Sorry to be so vague, but this is at an exploratory stage. | |
Jul 19, 2010 at 20:09 | comment | added | Deane Yang | Are you looking for an intrinsic invariant or one that might depend on the embedding into $R^3$? | |
Jul 19, 2010 at 20:03 | answer | added | Will Jagy | timeline score: 8 | |
Jul 19, 2010 at 19:47 | comment | added | DoubleJay | You might want to look into something called discrete differential geometry, used mainly for computer graphics. It doesn't provide a formula, but it could help you measure your surface. In general, something like bregman divergence from a sphere would be good, I think. (Though I don't know exactly how you'd measure it). | |
Jul 19, 2010 at 19:40 | history | asked | Joseph O'Rourke | CC BY-SA 2.5 |