<- Back
Comments (11)
- Terr_> Consider when the algorithm places a point p and then samples its annulus to get a new point q.I was confused for a while thinking p and q were swapped here, relative to the visualization below. [0] However I now think what I missed is that that the visualization is showing two points that are already firmly-established, and the question is where a potential third (unseen, unnamed) point could be placed.So metaphorically speaking, it's about picking a new direction of travel that isn't guaranteed to be into your own recent footsteps.[0] You might say I have problems minding my p's and q's.
- akkartikStill one of the most satisfying debug UIs I ever came up with.https://akkartik.name/post/2023-11-04-devlog
- jacobolusFolks may find https://observablehq.com/@fil/poisson-distribution-generator... useful
- kleiba2Possibly interesting post from Casey Muratori, regarding random placement of grass in games: https://caseymuratori.com/blog_0013, using blue noise.
- WithinReasonI see the generated points often form lines which would cause aliasing in computer graphics, why not use low discrepancy sequences instead?
- hingler36I love these kinds of problems, because they try to produce what humans perceive as random instead of something truly random. Another great example of this is blue noise
- jonstewartOh, that’s rather a different sort of disk sampling than I imagined.
- addagI'm wondering if it can be used as a low-discrepancy sequence