Free access
Issue
ESAIM: M2AN
Volume 36, Number 5, September/October 2002
Special issue on Programming
Page(s) 783 - 792
DOI http://dx.doi.org/10.1051/m2an:2002042
Published online 15 October 2002
  1. M. Berz, C.H. Bischof, G.F. Corliss and A. Griewank, Computational Differentiation: Applications, Techniques, and Tools. SIAM, Philadelphia (1996).
  2. C. Bischof, A. Carle, P. Khademi, A. Mauer and P. Hovland, Adifor 2.0 User's Guide, Technical Report ANL/MCS-TM-192/CRPC-TR95516-S. Argonne National Laboratory Technical Memorandum and CRPC Technical Report (1998).
  3. G. Corliss, C. Faure, A. Griewank, L. Hascoet and U. Naumann, Automatic Differentiation: From Simulation to Optimization. Springer-Verlag (2001).
  4. C. Faure, Adjoining strategies for multi-layered programs. Optim. Methods Softw. 17 (2002) 129-164. [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [PubMed]
  5. C. Faure and U. Naumann, Minimizing the Tape Size, in Automatic Differentiation: From Simulation to Optimization, G. Corliss, C. Faure, A. Griewank, L. Hascoët and U. Naumann Eds. Springer-Verlag (2001).
  6. C. Faure and Y. Papegay, Odyssée User's Guide, Version 1.7. Rapport technique 0224. INRIA (1998).
  7. R. Giering, Tangent linear and Adjoint Model Compiler, Users manual (1997). Unpublished, available from http://puddle.mit.edu/~ralf/tamc
  8. R. Giering and T. Kaminski, Generating recomputations in reverse mode, in Automatic Differentiation of Algorithms: From Simulation to Optimization. Springer-Verlag (2001).
  9. A. Griewank, Principles and Techniques of Algorithmic Differentiation. SIAM (2000).
  10. A. Griewank and G.F. Corliss, Automatic Differentiation of Algorithms: Theory, Implementation, and Applications. SIAM, Philadelphia (1991).
  11. Stanford Compiler Group, Suif Compiler System, Technical report. Stanford University.
  12. M. Iri, Simultaneous computation of functions, partial derivatives and estimates of rounding errors, complexity and practicality. Japan J. Appl. Math. 1 (1984) 223-252. [CrossRef] [MathSciNet]
  13. M. Iri and K. Kubota, Methods of fast automatic differentiation and applications, Research memorandum rmi 87-02, Department of Mathematical Engineering and Instrumentation Physics. Faculty of Engineering, University of Tokyo (1987).
  14. J. Joss, Algorithmisches Differenzieren. Ph.D. Thesis, ETH Zurich (1976).
  15. K.V. Kim, Yu.E. Nesterov and B.V. Cherkasskii, An estimate of the effort in computing the gradient. Soviet Math. Dokl. 29 (1984) 384-387.
  16. G.M. Ostrovskii, Yu.M. Volin and W.W. Borisov, Uber die berechnung von ableitungen. Wiss. Z. Tech. Hochsch. Chimie 13 (1971) 382-384.
  17. J.W. Sawyer, First partial differentiation by computer with an application to categorial data analysis. Amer. Statist. 38 (1984) 300-308. [CrossRef]
  18. B. Speelpening, Compiling fast partial derivatives of functions given by algorithms. Ph.D. Thesis, University of Illinois, Urbana-Champaign (1980).

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