Timeline for Mitchell's Best Candidate Algorithm
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jul 29, 2020 at 17:30 | history | edited | Alan Wolfe | CC BY-SA 4.0 |
added 192 characters in body
|
| Jul 29, 2020 at 17:29 | comment | added | Alan Wolfe | A better answer 3 years later... halton sequence is a low discrepancy sequence. It converges faster than white noise but can have aliasing problems before it converges. Blue noise converges at the same speed as white noise but has lower starting error. The error it leaves behind is better perceptually than white noise or LDS. Blue noise is for low sample counts basically. | |
| Oct 7, 2017 at 4:35 | vote | accept | Alan Wolfe | ||
| Oct 5, 2017 at 22:52 | comment | added | Alan Wolfe | It's a lot closer to ideal blue noise. Worth another question probably! | |
| Oct 5, 2017 at 22:05 | comment | added | Quinchilion | How does this technique compare to the very easy to generate Halton sequence? | |
| Oct 5, 2017 at 20:01 | history | edited | Alan Wolfe | CC BY-SA 3.0 |
added 457 characters in body
|
| Oct 5, 2017 at 19:44 | history | edited | Alan Wolfe | CC BY-SA 3.0 |
added 3 characters in body
|
| Oct 5, 2017 at 19:34 | history | edited | Alan Wolfe | CC BY-SA 3.0 |
added 467 characters in body
|
| Oct 5, 2017 at 19:28 | history | answered | Alan Wolfe | CC BY-SA 3.0 |