Document Type
Article
Journal/Book Title/Conference
Computer Physics Communications
Publisher
Elsevier
Publication Date
1-2013
First Page
1
Last Page
16
Abstract
DNAD (dual number automatic differentiation) is a simple, general-purpose tool to automatically differentiate Fortran codes written in modern Fortran (F90/95/2003) or legacy codes written in previous version of the Fortran language. It implements the forward mode of automatic differentiation using the arithmetic of dual numbers and the operator overloading feature of F90/95/2003. Very minimum changes of the source codes are needed to compute the first derivatives of Fortran programs. The advantages of DNAD in comparison to other existing similar computer codes are its programming simplicity, extensibility, and computational efficiency. Specifically, DNAD is more accurate and efficient than the popular complex-step approximation. Several examples are used to demonstrate its applications and advantages.
Recommended Citation
Yu, Wenbin and Blair, Maxwell, "DNAD, a Simple Tool for Automatic Differentiation of Fortran Codes Using Dual Numbers" (2013). Mechanical and Aerospace Engineering Faculty Publications. Paper 30.
https://digitalcommons.usu.edu/mae_facpub/30
Included in
Computational Engineering Commons, Computer Engineering Commons, Mechanical Engineering Commons
