You are here

Publications

Export 35 results:
Sort by: Author Keyword Title [ Type (Desc)] Year
Filters: Keyword is AD  [Clear All Filters]
Conference Papers
C. A. Mader, J. R. R. A. Martins, and A. C. Marta, “Towards Aircraft Design Using an Automatic Discrete Adjoint Solver”, in Proceedings of the 18th AIAA Computational Fluid Dynamics Conference, Miami, FL, 2007.
C. A. Mader, J. R. R. A. Martins, and A. C. Marta, “Towards Aerodynamic Shape Optimization of an Oblique Wing Using the ADjoint Approach”, in Proceedings of the CASI Conference, Toronto, ON, 2007.
C. A. Mader and J. R. R. A. Martins, “Stability-Constrained Aerodynamic Shape Optimization of Flying Wings”, in Proceedings of the CASI Conference, Montreal, QC, 2011.
C. A. Mader and J. R. R. A. Martins, “A Discrete Adjoint Formulation for Stability Derivatives Using the ADjoint Approach”, in Proceedings of the CASI Conference, Kanata, ON, 2009.
All
C. A. Mader, J. R. R. A. Martins, and A. C. Marta, “Towards Aircraft Design Using an Automatic Discrete Adjoint Solver”, Proceedings of the 18th AIAA Computational Fluid Dynamics Conference. 2007.
C. A. Mader, J. R. R. A. Martins, and A. C. Marta, “Towards Aerodynamic Shape Optimization of an Oblique Wing Using the ADjoint Approach”, Proceedings of the CASI Conference. 2007.
Tools for Automatic Differentiation”. .
L. Hascoët, “TAPENADE: A tool for Automatic Differentiation of programs”, Proceedings of 4$^{th}$ European Congress on Computational Methods, ECCOMAS'2004, Jyvaskyla, Finland. 2004.
L. Hascoët and V. Pascual, “TAPENADE 2.1 User's Guide”. 2004.
C. A. Mader and J. R. R. A. Martins, “Stability-Constrained Aerodynamic Shape Optimization of Flying Wings”, Proceedings of the CASI Conference. 2011.
M. Fagan and A. Carle, “Reducing Reverse-Mode Memory Requirements by Using Profile-Driven Checkpointing”, Future Generation Comp. Syst., vol. 21. p. 1380–1390, 2005.
P. Cusdin and J. - D. Müller, “On the Performance of Discrete Adjoint CFD Codes using Automatic Differentiation”, International Journal of Numerical Methods in Fluids, vol. 47. p. 939-945, 2005.
K. Kubota, “PADRE2 –- FORTRAN Precompiler for Automatic Differentiation and Estimates of Rounding Errors”, Computational Differentiation: Techniques, Applications, and Tools. p. 367–374, 1996.
S. Brown, “OPRAD –- A Users Guide to the OPtima Reverse Automatic Differentiation Tool”. 1995.
M. Bartholomew-Biggs, “OPFAD –- A Users Guide to the OPtima Forward Automatic Differentiation Tool”. 1995.
A. C. Marta, C. A. Mader, J. R. R. A. Martins, E. van der Weide, and J. J. Alonso, “A methodology for the development of discrete adjoint solvers using automatic differentiation tools”, International Journal of Computational Fluid Dynamics, vol. 21. p. 307-327, 2007.
P. Cusdin and J. - D. Müller, “An Introduction to Tangent and Adjoint Mode Automatic Differentiation for Computational Fluid Dynamics”. 2003.
A. Carle and M. Fagan, “Improving Derivative Performance for CFD by Using Simplified Recurrences”, Computational Differentiation: Techniques, Applications, and Tools. p. 343–351, 1996.
T. Beck and H. Fischer, “The if-problem in automatic differentiation”, Journal of Computational and Applied Mathematics, vol. 50. p. 119–131, 1994.
J. D. Pryce and E. M. Tadjouddine, “Fast AD Jacobians by compact LU factorization”, {SIAM} Journal on Scientific Computing. 2007.
E. Tijskens, H. Ramon, and J. De Baerdemaeker, “Efficient Operator Overloading AD for Solving Nonlinear PDEs”, Automatic Differentiation of Algorithms: From Simulation to Optimization. p. 167–172, 2001.
C. A. Mader and J. R. R. A. Martins, “A Discrete Adjoint Formulation for Stability Derivatives Using the ADjoint Approach”, Proceedings of the CASI Conference. 2009.
C. Bischof, G. Corliss, L. Green, A. Griewank, K. Haigler, and P. Newman, “Automatic Differentiation of Advanced CFD Codes for Multidisciplinary Design”. 1993.
C. H. Bischof, G. F. Corliss, L. Green, A. Griewank, K. Haigler, and P. Newman, “Automatic Differentiation of Advanced CFD Codes for Multidisciplinary Design”, Journal on Computing Systems in Engineering, vol. 3. p. 625–638, 1992.
B. Mohammadi, J. - M. Malé, and N. Rostaing-Schmidt, “Automatic Differentiation in Direct and Reverse Modes: Application to Optimum Shapes Design in Fluid Mechanics”, Computational Differentiation: Techniques, Applications, and Tools. p. 309–318, 1996.
Automatic Differentiation: From Simulation to Optimization”. 2001.
A. Griewank, D. Juedes, and J. Utke, “Algorithm 755: ADOL-C: a package for the automatic differentiation of algorithms written in C\slash C++”, ACM Transactions on Mathematical Software, vol. 22. p. 131–167, 1996.
C. Bischof, A. Carle, G. Corliss, A. Grienwank, and P. Hoveland, “ADIFOR: Generating Derivative Codes from Fortran Programs”, Scientific Programming, vol. 1. p. 11–29, 1992.
C. Bischof, G. Corliss, and A. Grienwank, “ADIFOR Exception Handling”. 1991.
A. Carle and M. Fagan, “ADIFOR 3.0 Overview”. 2000.
C. Bischof, P. Khademi, A. Mauer, and A. Carle, “Adifor 2.0: automatic differentiation of Fortran 77 programs”, Computational Science Engineering, IEEE, vol. 3. p. 18–32, 1996.
C. H. Bischof, L. Roh, and A. J. Mauer-Oats, “ADIC: an extensible automatic differentiation tool for ANSI-C”, Software –- Practice and Experience, vol. 27. p. 1427–1456, 1997.
C. A. Mader, “ADjoint: An Approach for the Rapid Development of Discrete Adjoint Solvers”. 2007.
J. D. Pryce and J. K. Reid, “AD01, a Fortran 90 Code for Automatic Differentiation”. 1998.