Reports Citing Use of ADIFOR and ADIC

Listed below are reports from researchers not associated with the computational differentiation project who used our automatic differentiation tools in their work.

Automatic Differentiation as a Tool in Engineering Design, J.-F. Barthelemey and L. Hall, Proceedings of the 4th AIAA/USAF/NASA/OAI Symp. on Multidisciplinary Analysis and Optimization, AIAA 92-4743, 1992.

Sensitivity Derivatives for Advanced CFD Algorithm and Viscous Modeling Parameters via Automatic Differentiation, Lawrence Green, Perry Newman, and Kara Haigler, Proc. 11th AIAA Computational Fluid Dynamics Conference, AIAA Paper 93-3321, 1993.

Description of Covariance Data in ENDF-6 Format, Douglas Muir, in Proc. on Nuclear Data Evaluation Methodology, C. L. Dunford, Ed., World Scientific Publishers, Singapore, 1993.

Automatische Differenzierung zur Rekursiven Bestimmung von Partiellen Ableitungen (Automatic Differentiation for the Recursive Computation of Partial Derivatives), Uli Haeussermann, STUD-102, Institut B fuer Mechanik, Universitaet Stuttgart, 1993, in German.

Algorithm LLDRLF: Log-Likelyhood and Some Derivatives for Log-F Models, Barry W. Brown, F. Martin Spears, Lawrence B. Levy, James Lovato and Kathy Russell, Dept. of Biomathematics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, 1994.

A Hybrid Optimization Approach to the Estimation of Distributed Parameters in Two Dimensional Confined Aquifers under Steady State Conditions, M. Heidari and S. Ranjithan, IL Geological Survey, Urbana, IL., 1994.

The Application of Automatic Differentiation to Problems in Engineering Analysis, Shirish Chinchalkar, Computer Methods in Applied Mechanics and Engineering, Vol. 188, pp. 197-207, 1994.

Computational Modelling Issues in Next Generation Air Quality Models, Daewon Byun, Robert Dennis, Dongming Hwang, Carlie Coats, Jr. and M. Talat Odman, Proceedings of IMACS'94, Atlanta, Georgia, 1994.

The Application of Automatic Differentiation in the Continuation Power Flow, Amin Ibsais and Venkataramana Ajjarapu, Proc. 26th North American Power Symposium, Part I, pp. 329-337, Manhattan, KS, 1994.

The Use of Automatic Differentiation in an Aircraft Design Problem Eric Unger and Laura Hall, Proc. 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pp. 64--73, AIAA 94-4260, 1994.

First- and Second-Order Aerodynamic Sensitivity Derivatives via Automatic Differentiation with Incremental Iterative Methods, V. Korivi, L. Sherman, A. Taylor, G. Hou, L. Green and P. Newman, 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pp. 87-120, AIAA 94-4262, 1994.

Aerodynamic Optimization Studies using a 3-D Supersonic Euler Code with Efficient Calculation of Sensitivity Derivatives, V. Korivi, A. Taylor and P. Newman, 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pp. 170-194, AIAA 94-4270, 1994.

New Advances in the Modeling of High-Temperature Superconductors, L. Freitag, M. Jones, and P. Plassman, Argonne Preprint MCS-P415-0294, 1994.

Application of Automatic Differentiation for Studying the Sensitivity of Numerical Advection Schemes in Air Quality Models, D. Hwang and D. Byun, Proc. High Performance Computing 1995, pp. 52-57, Phoenix, AZ, April 9-13, 1995.

Analysis and Optimization of Complex Multibody Systems using Advanced Sensitivity Analysis Methods, P. Eberhard, Dept. of Mechanics, University of Stuttgart, Germany, 1995. click here to preview.

Sensitivity and Uncertainty Analyses for Numerical Advection Processes, Dongming Hwang and Daewon Byun, Proc. 27th Symp. on the Interface, Pittsburgh, PA June 21-24, pp. 69-75, 1995.

Automatic Differentiation for More Efficient Multidisciplinary Analysis and Optimization, Wujek, B.A., Renaud, J.E., AIAA-96-4117, 6th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, WA, September 1996.

Comparisons of different automatic differentiation tools in circuit simulation, Wolfram Klein, in Computational Differentiation: Techniques, Applications, and Tools, M. Berz, C. Bischof, G. Corliss, A. Griewank, Eds., pp. 297-308, SIAM, Philadelphia, 1996.

Automatic Differentiation for Gradient-Based Optimization of Radiatively Heated Microelectronics Manufacturing Equipment, Christopher D. Moen, Paul A. Spence, Juan C. Meza, and Todd D. Platenga, in Proc. 6th AIAA/NASA/SSMO Symposium on Multidisciplinary Analysis and Optimization, pp. 1167-1175, AIAA, Reston, VA, 1996.

The Role of Automatic Differentiation in Power System Analysis, Amin Ibsais and Venkataramana Ajjarapu, IEEE Trans. on Power Systems, 12(2):592-597, 1997.

Evaluation of unconfined-acquifer parameters from pumping test data by nonlinear least squares, Manoutcher Heidari and Allen Moench, J. of Hydrology, Vol. 192, pp. 300-313, 1997.

An Automatic Differentiation Technique for Sensitivity Analysis of Numerical Advection Schemes in Air Quality Dongming Hwang, Daewon Byun, and M. T. Odman, Atmospheric Environment, 31(6):879-888, 1997.

Sensitivity Analysis for Atmospheric Chemistry Models via Automatic Differentiation, A. Sandu, G. R. Carmichael, and F. A. Potra, Atmospheric Environment, 31(3):475-489, 1997.

Automatic Differentiation Tools: A Working Application of ADIFOR and GRESS, M. L. J. Rightley, Los Alamos Web Page, 1997.

Validity of the Tangent Linear Approximation in a Moist Convective Cloud Model, S. K. Park and K. K. Droegemeier, Monthly Weather Review, 125:3320-3340, 1997.


Computational Differentiation Project autodiff@mcs.anl.gov