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Order by: [Title], [Author], [Editor], [Year]
Philip Hartman
Ordinary Differential Equations
Birkhäuser, 1982
not yet classified
Haibin Zhang, Lizhen Zhang, Sen Zhang
Original Halley Method and its Improvement with Automatic Differentiation
Conference proceeding, Sixth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2009), IEEE, 2009
Theory & Techniques:
Higher Order
Hin-Hark Gan, Byung Chan Eu
Ornstein-Zernike Derivative Relations and Thermodynamic Functions
Article in J. Chem. Phys, 1992
not yet classified
George F. Corliss
Overloading Point and Interval Taylor Operators
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM, 1991
not yet classified
H. Elbern, H. Schmidt
Ozone Episode Analysis By Four-Dimensional Variational Chemistry Data Assimilation
Article in J. Geophys. Res., 2001
Application Area:
Atmospheric Chemistry
Tools:
TAMC
Theory & Techniques:
Adjoint
Koichi Kubota
PADRE2 -- Fortran Precompiler for Automatic Differentiation and Estimates of Rounding Errors
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Koichi Kubota
PADRE2, A Fortran Precompiler Yielding Error Estimates and Second Derivatives
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM, 1991
not yet classified
A. M. E. Winguth, D. Archer, E. Maier-Reimer, U. Mikolajewicz
Paleonutrient data analysis of the glacial Atlantic using an adjoint ocean general circulation model
Inverse Methods in Global Biogeochemical Cycles, Geophys. Monogr. Ser., agu, 1999
Application Area:
Oceanography
Tools:
TAMC
Theory & Techniques:
Adjoint
Tim Kaler, Tao B. Schardl, Brian Xie, Charles E. Leiserson, Jie Chen, Aldo Pareja, Georgios Kollias
PARAD: A Work-Efficient Parallel Algorithm for Reverse-Mode Automatic Differentiation
Conference proceeding, Proceedings of the Symposium on Algorithmic Principles of Computer Systems (APOCS), Society for Industrial and Applied Mathematics, 2021
Theory & Techniques:
Parallelism, Reverse Mode
Christian Bischof, Larry Green, Kitty Haigler, Tim Knauff
Parallel Calculation of Sensitivity Derivatives for Aircraft Design Using Automatic Differentiation
Conference proceeding, Proceedings of the 5th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, m AIAA 94-4261, American Institute of Aeronautics and Astronautics, 1994
Theory & Techniques:
Parallelism
A. Kowarz, A. Walther
Parallel Derivative Computation Using ADOL-C
Conference proceeding, Proceedings of PASA 2008, 2008
Application Area:
Physics
Tools:
ADOL-C
Theory & Techniques:
Parallelism
David E. Rumelhart, James L. McClelland, the PDP Research Group
Parallel Distributed Processing. Explorations in the Microstructure of Cognition
MIT Press, 1986
not yet classified
E. Varnik, U. Naumann
Parallel Jacobian Accumulation
Conference proceeding, Parallel Computing: Architectures, Algorithms and Applications. Proceedings of the International Conference ParCo 2007, 4. - 7. September 2007, 2007
Theory & Techniques:
Parallelism
H. M. Bücker, R. Beucker, A. Rupp
Parallel minimum p-norm solution of the neuromagnetic inverse problem for realistic signals using exact Hessian-vector products
Article in SIAM Journal on Scientific Computing, 2008
Application Area:
Biomedicine
Tools:
TAF
Theory & Techniques:
Hessian
George Biros, Omar Ghattas
Parallel Newton-Krylov Methods for PDE-Constrained Optimization
Conference proceeding, Proceedings of SC99, IEEE Computer Society, 1999
not yet classified
Christian Bischof, Niels Guertler, Andreas Kowarz, Andrea Walther
Parallel Reverse Mode Automatic Differentiation for OpenMP Programs with ADOL-C
Advances in Automatic Differentiation, Springer, 2008
Tools:
ADOL-C
Theory & Techniques:
Parallelism
Paul D. Hovland, Lois C. McInnes
Parallel Simulation of Compressible Flow Using Automatic Differentiation and PETSc
Mathematics and Computer Science Division, Argonne National Laboratory, 2000
not yet classified
Paul D. Hovland, Lois C. McInnes
Parallel simulation of compressible flow using automatic differentiation and PETSc
Article in Parallel Comput., Elsevier Science Publishers B. V., 2001
Application Area:
Computational Fluid Dynamics
Tools:
ADIFOR
Theory & Techniques:
Jacobian-vector product
Jochen Benary
Parallelism in the Reverse Mode
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
Parallelism
Jan C. Hückelheim, Paul D. Hovland, Michelle M. Strout, Jens-Dominik Müller
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
Application Area:
Computational Fluid Dynamics
Tools:
TAPENADE
Theory & Techniques:
Adjoint, Code Optimization, control-flow reversal, Data Flow Analysis, data-flow reversal, Implementation Strategies, Parallelism, Performance, Reverse Mode, Source transformation

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