add diffstruc to automatic differentiation

Author: Beliavsky

README.md

@@ -439,6 +439,8 @@ spectroscopic data obtained with near-infrared spectrograph NIRSPEC, installed i
 
 [Differentia](https://github.com/Nicholaswogan/Differentia): allows for the computation for derivatives, gradients and Jacobians of Fortran subroutines or functions using forward mode automatic differentiation (AD), by Nicholas Wogan, inspired by [DNAD](https://github.com/joddlehod/dnad) and [ForwardDiff.jl](https://github.com/JuliaDiff/ForwardDiff.jl)
 
+[diffstruc](https://github.com/nedtaylor/diffstruc): library that provides automatic differentiation capabilities through use of an array derived type, by Ned Thaddeus Taylor. It has implemented both forward and reverse mode automatic differentiation.
+
 [Dual Number Automatic Differentiation (DNAD)](https://github.com/joddlehod/dnad): update of code from Yu, W. and Blair, M.: "DNAD, a Simple Tool for Automatic Differentiation of Fortran Codes Using Dual Numbers," Computer Physics Communications, vol. 184, 2013, pp. 1446-1452, by oddlehod. Related project: [Fortran_DNAD](https://github.com/nickbrady/Fortran_DNAD)
 
 [Dual Numbers for Arbitrary Order Automatic Differentiation (DNAOAD)](https://github.com/fpenunuri/DNAOAD): implementation of automatic differentiation capable of handling derivatives of arbitrary order using dual numbers, by F. Peñuñuri et al. This implementation employs a direct approach to represent dual numbers without relying on recursive or nested structures, with associated preprint [here](https://arxiv.org/abs/2501.04159).
@@ -5920,5 +5922,6 @@ series (or its logs) is described by a linear combination of regressors, and the
 
 
 
+