ADIFOR: A Fortran system for portable automatic differentiation
Conference
·
OSTI ID:10181995
Automatic differentiation provides the foundation for sensitivity analysis and subsequent design optimization of complex systems by reliably computing derivatives of large computer codes, with the potential of doing it many times faster compared to current approaches. This paper describes the ADIFOR (Automatic DIfferentiation of FORtran) system, a translator that augments Fortran programs with statements for the computation of derivatives. ADIFOR accepts arbitrary Fortran 77 code defining the computation of a function and writes portable Fortran 77 code for the computation of its derivatives. Our goal is to free the computational scientist from worrying about the accurate and efficient computation of derivatives, even for complicated ``functions,`` thereby enabling him to concentrate on the more important issues of system modeling and algorithm design. This paper gives an overview of the principles underlying the ADIFOR system, and comments on the power of automatic differentiation for computing derivatives of implicitly-defined functions.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 10181995
- Report Number(s):
- ANL/CP--76898; CONF-9209215--1; ON: DE92040743
- Country of Publication:
- United States
- Language:
- English
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