Title of article :
DNAD, a simple tool for automatic differentiation of Fortran codes using dual numbers Original Research Article
Author/Authors :
Hui Chen and Wenbin Yu، نويسنده , , Maxwell Blair، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2013
Pages :
7
From page :
1446
To page :
1452
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.
Keywords :
Fortran 90/95/2003 , sensitivity , Dual numbers , DNAD , Automatic differentiation
Journal title :
Computer Physics Communications
Serial Year :
2013
Journal title :
Computer Physics Communications
Record number :
1136562
Link To Document :
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