-
Try out the new Jake: AI Coding Assistant for LabVIEW (beta)!
Get answers to questions about LabVIEW and discuss your code.
Automatic Differentiation by SLO Systems - Toolkit for LabVIEW Download
Version | 1.0.0.7 |
Released | Feb 10, 2021 |
Publisher | SLO Systems |
License | MIT License |
LabVIEW Version | LabVIEW>=20.0 |
Operating System | Windows, Mac, and Linux |
Project links | Homepage Repository |
Description
This library presents an implementation of dual numbers and forward-mode automatic differentiation.
Currently, all basic and trigonometric functions are implemented, mirroring the primitives included in LabVIEW for normal numbers. The primitives have inputs compatible with both normal numbers in LabVIEW and dual numbers using malleable VIs, but their output will always output a dual number.
Evaluations of a dual number function, derivative, partial derivative, gradient, directional derivative, and Jacobian are implemented. A simple instance of Newton's method is also provided.
View examples in Help -> Find Examples... -> Directory Structure -> SLO Systems -> Automatic Differentiation.
Release Notes
Fixed palette to be under a single SLO Systems palette category.