Tools for the automatic differentiation of computer programs

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Description

Automatic differentiation (AD) is a methodology for developing sensitivity-enhanced versions of arbitrary computer programs. In this paper, we provide some background information on AD and basic implementation issues for the design of general purpose tools that can deal with codes from the Fortran and C family, address some frequently asked questions, and provide pointers for further study.

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6 p.

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Bischof, C. & Griewank, A. December 31, 1995.

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Description

Automatic differentiation (AD) is a methodology for developing sensitivity-enhanced versions of arbitrary computer programs. In this paper, we provide some background information on AD and basic implementation issues for the design of general purpose tools that can deal with codes from the Fortran and C family, address some frequently asked questions, and provide pointers for further study.

Physical Description

6 p.

Notes

OSTI as DE97001991

Source

  • International congress on industrial and applied mathematics, Hamburg (Germany), 3-7 Jul 1995

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  • Other: DE97001991
  • Report No.: ANL/MCS-P--608-0896
  • Report No.: CONF-9507214--3
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 442211
  • Archival Resource Key: ark:/67531/metadc684184

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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Creation Date

  • December 31, 1995

Added to The UNT Digital Library

  • July 25, 2015, 2:21 a.m.

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  • Dec. 14, 2015, 6:43 p.m.

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Bischof, C. & Griewank, A. Tools for the automatic differentiation of computer programs, article, December 31, 1995; Illinois. (digital.library.unt.edu/ark:/67531/metadc684184/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.