Sounio-lang/sounio: v0.14.0 - Autodiff & Numerical Methods
Abstract
Automatic Differentiation Forward-mode autodiff for machine learning and scientific computing. Features Forward-mode AD via dual numbers grad/jacobian/hessian builtins Tensor shape inference Array intrinsics Example ```sio fn f(x: Dual) -> Dual { x * x + 2.0 * x + 1.0 } let derivative = grad(f, 3.0) // df/dx at x=3 ```
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 January 2026