ADIFOR 2.0 user`s guide (Revision B)
- Argonne National Lab., IL (United States)
- Rice Univ., Houston, TX (United States). Center for Research on Parallel Computation
Automatic differentiation is a technique for computing the derivatives of functions described by computer programs. ADIFOR implements automatic differentiation by transforming a collection of FORTRAN 77 subroutines that compute a function {line_integral} into new FORTRAN 77 suborutines that compute the derivaties of the outputs of {line_integral} with respect to a specified set of inputs of {line_integral}. This guide describes step by step how to use version 2.0 of ADIFOR to generate derivative code. Familiarity with UNIX and FORTRAN 77 is assumed.
- Research Organization:
- Argonne National Lab., IL (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States); National Aeronautics and Space Administration, Washington, DC (United States); National Science Foundation, Washington, DC (United States)
- DOE Contract Number:
- W-31109-ENG-38
- OSTI ID:
- 93483
- Report Number(s):
- ANL/MCS-TM--192; ON: DE95014527; CNN: Purchase Order L25935D; Cooperative Agreement NCCW-0027; Cooperative Agreement CCR-9120008
- Country of Publication:
- United States
- Language:
- English
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