| 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
|
