Applying TAF to generate efficient derivative code of Fortran 77-95 programs-Reference-Cited by-同舟云学术

Applying TAF to generate efficient derivative code of Fortran 77-95 programs

Published:2003-03 Issue:1 Volume:2 Page:54-57
ISSN:1617-7061
Container-title:PAMM
language:en
Short-container-title:Proc. Appl. Math. Mech.

Author:

Giering Ralf,Kaminski Thomas

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference11 articles.

1. FastOpt, Transformation of Algorithms in Fortran, http://www.FastOpt.com. URL http://www.FastOpt.com

2. Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, SIAM, Philadelphia, 2000.

3. The use of adjoint equations in numerical modelling of the atmospheric circulation, in: A. Griewank, G. F. Corliss (Eds.), Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM, Philadelphia, Penn., 1991, pp. 169-180.

4. Recipes for adjoint code construction

5. , , Applying TAF to a Navier-Stokes solver that simulates an Euler flow around an airfoil (2002).

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