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A. Carle and Fagan, M., Improving Derivative Performance for CFD by Using Simplified Recurrences, Computational Differentiation: Techniques, Applications, and Tools. SIAM, Philadelphia, PA, pp. 343–351, 1996.
E. Tijskens, Ramon, H., and De Baerdemaeker, J., Efficient Operator Overloading AD for Solving Nonlinear PDEs, Automatic Differentiation of Algorithms: From Simulation to Optimization. Springer, New York, NY, pp. 167–172, 2001.
C. H. Bischof, Corliss, G. F., Green, L., Griewank, A., Haigler, K., and Newman, P., Automatic Differentiation of Advanced CFD Codes for Multidisciplinary Design, Journal on Computing Systems in Engineering, vol. 3. pp. 625–638, 1992.
C. Bischof, Corliss, G., Green, L., Griewank, A., Haigler, K., and Newman, P., Automatic Differentiation of Advanced CFD Codes for Multidisciplinary Design. Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Ill., 1993.
B. Mohammadi, Malé, J. - M., and Rostaing-Schmidt, N., Automatic Differentiation in Direct and Reverse Modes: Application to Optimum Shapes Design in Fluid Mechanics, Computational Differentiation: Techniques, Applications, and Tools. SIAM, Philadelphia, PA, pp. 309–318, 1996.
G. Corliss, Faure, C., Griewank, A., Hascoët, L., and Naumann, U., Automatic Differentiation: From Simulation to Optimization. Springer, 2001.
A. Griewank, Juedes, D., and Utke, J., Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C\slash C++, ACM Transactions on Mathematical Software, vol. 22. pp. 131–167, 1996.