Fully-featured Dual Number implementation with features for automatic differentiation of multivariate vectorial functions
Generalized (hyper) dual numbers for the calculation of exact (partial) derivatives
Forward-mode automatic differentiation with const-generic, stack-allocated first-, second-, and third-order jets (Jet1/Jet2/Jet3) for gradients, Hessians, and third-order tensors
Fully-featured Dual Number implementation with features for automatic differentiation of multivariate vectorial functions into gradients
Forward auto-differentiation, allowing its user to manage memory location and minimize copying.
Open-source math library for exact and floating point computations
Rust comprehensive scientific computation library contains linear algebra, numerical analysis, statistics and machine learning tools with familiar syntax