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Order by: [Title], [Author], [Editor], [Year]
E. Varnik, U. Naumann
On Symbolic Jacobian Accumulation
Conference proceeding, Proceedings of the 9^\th WSEAS International Conference on Applied Mathematics, WSEAS, 2006
Theory & Techniques:
Implementation Strategies
U. Naumann, J. Riehme
On Syntax-Directed Adjoint Fortran Code
Article in Computer Science and Information Systems (ComSIS), 2007
Theory & Techniques:
Implementation Strategies
David Barton
On Taylor series and stiff equations
Article in ACM Trans. Math. Software, 1980
not yet classified
A. Griewank, T. Streubel, C. Tischendorf
On the abs-polynomial expansion of piecewise smooth functions
Article in Optimization Methods & Software, Taylor & Francis, 2021
Theory & Techniques:
Piecewise Linear
Houtan Bastani, Luca Guerrieri
On the Application of Automatic Differentiation to the Likelihood Function for Dynamic General Equilibrium Models
Advances in Automatic Differentiation, Springer, 2008
Application Area:
Economics
Tools:
TAPENADE
T. Kaminski
On the benefit of the adjoint technique for inversion of the atmospheric transport employing carbon dioxide as an example of a passive tracer
Ph.D. thesis, Max-Planck-Institut für Meteorologie, 1998
Application Area:
Meteorology
Tools:
TAMC
Theory & Techniques:
Adjoint
Andreas Griewank, Shawn Reese
On the Calculation of Jacobian Matrices by the Markowitz Rule
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM, 1991
Theory & Techniques:
X-Country
A. K. M. Shahadat Hossain
On the Computation of Sparse Jacobian Matrices and Newton Steps
Ph.D. thesis, Department of Informatics, University of Bergen, 1998
Theory & Techniques:
Sparsity
Mihai Alexe, Adrian Sandu
On the discrete adjoints of adaptive time stepping algorithms
Article in Journal of Computational and Applied Mathematics, 2009
Theory & Techniques:
Adjoint
M. Wagner, B. -J. Schaefer,, A. Walther
On the efficient computation of high-order derivatives for implicitly defined functions
Article in Computer Physics Communications, 2010
Application Area:
Physics
Tools:
ADOL-C
Theory & Techniques:
Higher Order
Andrea Walther
On the Efficient Computation of Sparsity Patterns for Hessians
Recent Advances in Algorithmic Differentiation, Springer, 2012
Theory & Techniques:
Hessian, Sparsity
Michael J. D. Powell, Philippe L. Toint
On the Estimation of Sparse Hessian Matrices
Article in SIAM J. Numer. Anal., 1979
Theory & Techniques:
Hessian, Sparsity
A. R. Curtis, M. J. D. Powell, J. K. Reid
On the Estimation of Sparse Jacobian Matrices
Article in Journal of the Institute of Mathematics and Applications, 1974
Theory & Techniques:
Sparsity
Laurence C. W. Dixon
On the Impact of Automatic Differentiation on the Relative Performance of Parallel Truncated Newton and Variable Metric Algorithms
Article in SIAM J. Optim., 1991
Application Area:
Optimization
Theory & Techniques:
Hessian, Parallelism
C. H. Bischof, P. Hovland, B. Norris
On the Implementation of Automatic Differentiation Tools
Article in Higher-Order and Symbolic Computation, 2008
Theory & Techniques:
Implementation Strategies
M. Probst, M. Lülfesmann, M. Nicolai, H. M. Bücker, M. Behr, C. H. Bischof
On the Influence of Constitutive Models on Shape Optimization for Artificial Blood Pumps
Constrained Optimization and Optimal Control for Partial Differential Equations, Birkhäuser, 2012
Application Area:
Biomedicine, Shape optimization
Tools:
ADIFOR, TAPENADE
Michael B. Giles
On the Iterative Solution of Adjoint Equations
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Adjoint, Fixpoint, Reverse Mode
D. C. Liu, J. Nocedal
On the Limited Memory BFGS Method for Large Scale Optimization
Northwestern University, 1988
not yet classified
E. Slusanschi, H. M. Bücker
On the Limits of Current Implementations of Algorithmic Differentiation
Conference proceeding, Proceedings of the 6th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC04, Timisoara, Romania, September 26--30, 2004, MIRTON, 2004
Tools:
TAMC, Tapenade, GRADIENT(Maple)
Theory & Techniques:
General, Iteration
Andreas Griewank, Kshitij Kulshreshtha, Andrea Walther
On the numerical stability of algorithmic differentiation
Article in Computing, Springer Vienna, 2012
Theory & Techniques:
Stability

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