We need your help! 🔥
Please consider disabling your ad-blocker to support this website! 🔑
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
We are a free, community-supported website! 🥰
We only display small unobtrusive ads which help us stay online! 💯
Thank you in advance! ❤️
Smoothing Temporal
This smoothing algorithm returns a smoothed value that is the sum of the weighted average of the previous observations and the current value.
Inputs
| Name | ID | Description | Type |
|---|---|---|---|
| Number | V | Incoming value to smooth | Number |
| Smoothing Factor | F | Smoothing Factor where, 0.0 < F < 1.0. Note: The higher the value, the longer it will take to converge. | Number |
Outputs
| Name | ID | Description | Type |
|---|---|---|---|
| Smoothed Value | S | The smoothed value | Number |
Site design © Robin Rodricks.
Firefly and associated data © 2025 Andrew Payne (LIFT architects).
Rhinoceros and Grasshopper are registered trademarks of Robert McNeel & Associates.
Hosted by GitHub