5 Dec 2020 |
jehaverlack | it does work, but is obviously not as fast as on a higher end computer. | 19:12:28 |
jehaverlack | Download Screenshot from 2020-12-05 10-14-00.png | 19:14:27 |
jehaverlack | https://resources.wolframcloud.com/FunctionRepository/resources/CurvedSpacetimeSprinkling | 19:16:37 |
jehaverlack | I've been trying to do something similar. My current project is to characterize distributions of distances in 3D Space by looking at various distributions of point in 3D coordinate space. | 19:19:16 |
jehaverlack | Download SphereShell.png | 19:19:59 |
jehaverlack | Redacted or Malformed Event | 19:20:46 |
jehaverlack | Download Screenshot from 2020-12-05 10-22-05.png | 19:22:26 |
jehaverlack | the above example is a histogram of the distribution of distance for points on a the surface of a sphere | 19:24:34 |
jehaverlack | There is an approximate linear distribution. | 19:24:50 |
jehaverlack | I want to do the same for different distributions. cubes, "solid" and "shells" and for multiple spheres of different sizes and distances from each other. | 19:25:51 |
jehaverlack | Download jehaverlack-ssl-multilateration-sphere-shell.nb | 19:27:20 |
jehaverlack | ^Wolfram notebook for the above. | 19:27:29 |
jehaverlack | The hope is that if it's possible to characterize 3D distributions with a spectral fingerprint, then we might be able to filter subsets of 3D space out of more complex sets of Hypergraph objects. | 19:28:41 |
jehaverlack | The process of convernting know distances back to 3D coordinates is know as Multilateration. | 19:29:30 |
jehaverlack | Download AlgebraicMultilaterationNorrdine.pdf | 19:29:43 |
jehaverlack | ^ This is a good read on how to do that. | 19:29:56 |
jehaverlack | Redacted or Malformed Event | 19:39:53 |
7 Dec 2020 |
jehaverlack | Download StateSpaceLocality-2020-12-06.pdf | 04:35:06 |
jehaverlack | ^ My latest attempt to find 3D Space update rules... | 04:35:39 |
jehaverlack | Download StateSpaceLocality.nb | 04:35:47 |
jehaverlack | In PDF and Wolfram notebook format | 04:36:05 |
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