References in zbMATH (referenced in 123 articles , 1 standard article )

Showing results 101 to 120 of 123.
Sorted by year (citations)
  1. Naumann, Uwe: DAG reversal is NP-complete (2009)
  2. Bastani, Houtan; Guerierri, Luca: On the application of automatic differentiation to the likelihood function for dynamic general equilibrium models (2008)
  3. Dervieux, Alain; Mesri, Youssef; Courty, Francois; Hascoet, Laurent; Koobus, Bruno; Vazquez, Mariano: Calculating sensitivity by differentiation for aerodynamics (2008)
  4. Gejadze, I. Yu.; Le Dimet, F.-X.; Shutyaev, V.: On analysis error covariances in variational data assimilation (2008)
  5. Grabner, Markus; Pock, Thomas; Gross, Tobias; Kainz, Bernhard: Automatic differentiation for GPU-accelerated 2D/3D registration (2008)
  6. Naumann, Uwe: Optimal Jacobian accumulation is NP-complete (2008)
  7. Pearlmutter, Barak A.; Siskind, Jeffrey Mark: Using programming language theory to make automatic differentiation sound and efficient (2008)
  8. Potapov, M. A.; Shatokhin, E. A.: Some methods of automatic analysis and controllable transformation of programs (2008)
  9. Désidéri, Jean-Antoine; El Majd, Badr Abou; Janka, Aleš: Nested and self-adaptive Bézier parameterizations for shape optimization (2007)
  10. Gejadze, I.; Le Dimet, F.-X.; Shutyaev, V.: On error covariances in variational data assimilation (2007)
  11. Gejadze, I. Yu.; Monnier, J.: On a 2D `zoom’ for the 1D shallow water model: coupling and data assimilation (2007)
  12. Marta, A. C.; Mader, C. A.; Martins, J. R. R. A.; Van Der Weide, E.; Alonso, J. J.: A methodology for the development of discrete adjoint solvers using automatic differentiation tools (2007)
  13. Mohammadi, B.: Global optimization, level set dynamics, incomplete sensitivity and regularity control (2007)
  14. Tber, Moulay Hicham; Hascoët, Laurent; Vidard, Arthur; Dauvergne, Benjamin: Building the tangent and adjoint codes of the ocean general circulation model OPA with the automatic differentiation tool TAPENADE (2007) ioport
  15. Bartlett, Roscoe A.; Gay, David M.; Phipps, Eric T.: Automatic differentiation of C++ codes for large-scale scientific computing (2006)
  16. Bücker, Martin (ed.); Corliss, George (ed.); Hovland, Paul (ed.); Naumann, Uwe (ed.); Norris, Boyana (ed.): Automatic differentiation: Applications, theory, and implementations. Selected papers based on the presentation at the 4th international conference on automatic differentiation (AD), Chicago, IL, USA, July 20--23, 2004 (2006)
  17. Castaings, W.; Dartus, D.; Honnorat, M.; Le Dimet, F.-X.; Loukili, Y.; Monnier, J.: Automatic differentiation: a tool for variational data assimilation and adjoint sensitivity analysis for flood modeling (2006)
  18. Dauvergne, Benjamin; Hascoët, Laurent: The data-flow equations of checkpointing in reverse automatic differentiation (2006)
  19. de Rocquigny, Étienne: Mastering uncertainty in industry. II: A survey of physical and numerical statistical modelling methods (2006)
  20. Hascoët, Laurent; Araya-Polo, Mauricio: The adjoint data-flow analyses: formalization, properties, and applications (2006)

Further publications can be found at: http://www-sop.inria.fr/tropics/tapenade.html