Added "Power" node #21
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Author
|
I think this is part of #18 as well, which admittedly I should probably go take a look at. If you want to close this because it's planned there instead, no worries! |
Owner
|
Aw sweet! Well... #18 is basically stalled atm, so i'm very happy to merge this one as soon as a I can take a look :D |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
For doing math, it's really helpful to have the power/exponent function available. I was going to suggest some more advanced mathematical functions, but really you can get decent approximations for most things as long as power is available!
For example, here's a Beadi file which generates values from the standard normal using the Box-Muller transform, using approximations for the natural log and sine functions. It's very much approximate (floating point math makes it hard for the tails of the distribution to really work well), but should be good for anything that Beadi would be used for.