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We propose extensions to Fortran which integrate forward and reverse Automatic Differentiation (AD) directly into the programming model.
The Calculi of Lambda Conversion
Alonzo Church · 1941
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Revised report on the algorithmic language ALGOL 60
J. W. Backus, F. L. Bauer, J. Green, C. Katz, J. McCarthy, P. Naur, A. J. Perlis, H. Rutishauser, K. Samelson, B. Vauquois, J. H. Wegstein, A. van Wijngaarden, and M. Woodger · 1963
Earlier work this paper cites.
A simple automatic derivative evaluation program
R. Wengert · 1964
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RABBIT, a compiler for Scheme
Guy Lewis Steele, Jr · 1978
Earlier work this paper cites.
Compiling Fast Partial Derivatives of Functions Given by Algorithms
B. Speelpenning · 1980
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ADIFOR: Generating derivative codes from Fortran programs
Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, and Paul D. Hovland · 1992
Cited alongside, same era.
The Glasgow Haskell compiler: a technical overview
S.L.P. Jones, C. Hall, K. Hammond, W. Partain, and P. Wadler · 1993
Cited alongside, same era.
ADIC — An extensible automatic differentiation tool for ANSI-C
Christian H. Bischof, Lucas Roh, and Andrew Mauer · 1997
Cited alongside, same era.
Haskell 98 language and libraries: the revised report
Simon Peyton Jones · 2003
Cited alongside, same era.
Putting the automatic back into AD: Part I, What’s wrong
Jeffrey Mark Siskind and Barak A. Pearlmutter
Cited in the paper.
Using polyvariant union-free flow analysis to compile a higher-order functional-programming language with a first-class derivative operator to efficient Fortran-like code
Jeffrey Mark Siskind and Barak A. Pearlmutter
Cited in the paper.
TAPENADE 2.1 user’s guide
Laurent Hascoët and Valérie Pascual · 2004
Later among the works it cites.
Computing adjoints with the NAGWare Fortran 95 compiler
Uwe Naumann and Jan Riehme · 2005
Later among the works it cites.
Using programming language theory to make automatic differentiation sound and efficient
Barak A. Pearlmutter and Jeffrey Mark Siskind · 2008
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AD in Fortran, Part 2: Implementation via prepreprocessor
Alexey Radul, Barak A. Pearlmutter, and Jeffrey Mark Siskind · 2012
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