| Order by:
[Title],
[Author],
[Editor],
[Year] |
|---|
|
Johannes Lotz, Uwe Naumann, Jörn Ungermann
Hierarchical Algorithmic Differentiation A Case Study
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Hierarchical Approach
|
|
H. M. Bücker
Hierarchical Algorithms for Automatic Differentiation
Faculty of Mathematics, Computer Science, and Natural Sciences, RWTH Aachen University, 2002 |
Theory & Techniques:
Hierarchical Approach
|
|
|
Christian H. Bischof, Mohammad R. Haghighat
Hierarchical Approaches to Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM,
1996 |
Theory & Techniques:
Hierarchical Approach
|
|
|
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce
Hierarchical Automatic Differentiation by Vertex Elimination and Source Transformation
Conference proceeding,
Computational Science and Its Applications -- ICCSA 2003, Proceedings of the International Conference on Computational Science and its Applications, Montreal, Canada, May 18--21, 2003. Part II, Springer,
2003 |
Application Area:
Computational Fluid Dynamics
Tools:
EliAD
Theory & Techniques:
Hierarchical Approach
|
|
|
M. Kalkuhl, W. Wiechert, H. M. Bücker, A. Vehreschild
High Precision Satellite Orbit Simulation: A Test Bench for Automatic Differentiation in MATLAB
Conference proceeding,
Proceedings of the Eighteenth Symposium on Simulation Techniques, ASIM 2005, Erlangen, September 12--15, SCS Publishing House,
2005 |
Application Area:
Multisensorics
Tools:
ADiMat
|
|
|
Shaun A. Forth, R. Ketzscher
High-level Interfaces for the MAD (MATLAB Automatic Differentiation) Package
Conference proceeding,
ECCOMAS 2004: Fourth European Congress on Computational Methods in Applied Sciences and Engineering, European Community on Computational Methods in Applied Sciences,
2004 |
Application Area:
Optimization, Ordinary Differential Equations
Tools:
TOMLAB /MAD
Theory & Techniques:
Toolkits
|
|
|
Richard Fateman
High-level proofs of mathematical programs using automatic differentiation, simplification, and some common sense
Conference proceeding,
Proceedings of the 2003 international symposium on Symbolic and algebraic computation, ACM,
2003 |
Application Area:
Program Verification
|
|
Benjamin Z. Dunham
High-Order Automatic Differentiation of Unmodified Linear Algebra Routines via Nilpotent Matrices
Ph.D. thesis,
Department of Aerospace Engineering Sciences, University of Colorado at Boulder,, 2017 |
Application Area:
Aerodynamics
Theory & Techniques:
Higher Order
|
|
|
Martin Berz
High-Order Description of Accelerators using Differential Algebra and First Applications to the SSC
Conference proceeding,
Proceedings, Snowmass Summer Meeting, 1988 |
not yet classified
|
|
|
Johannes Grote, Martin Berz, Kyoko Makino
High-Order Representation of Poincaré Maps
Automatic Differentiation: Applications, Theory, and Implementations, Springer,
2005 |
Application Area:
Dynamical Systems
Tools:
COSY INFINITY
|
|
|
Andreas Griewank, George F. Corliss, Petra Henneberger, Gabriella Kirlinger, Florian A. Potra, Hans J. Stetter
High-Order Stiff ODE Solvers via Automatic Differentiation and Rational Prediction
Numerical Analysis and Its Applications, Springer,
1997 |
not yet classified
|
|
|
Ahmad Bani Younes, James Turner, Manoranjan Majji, John Junkins
High-Order Uncertainty Propagation Enabled by Computational Differentiation
Recent Advances in Algorithmic Differentiation, Springer,
2012 |
Theory & Techniques:
Higher Order, Uncertainties
|
|
|
M. Sagebaum, T. Albring, N. R. Gauger
High-Performance Derivative Computations using CoDiPack
Article in
ACM Transactions on Mathematical Software, Association for Computing Machinery,
2019 |
Tools:
CoDiPack
|
|
|
Andrea Walther, Andreas Griewank, Olaf Vogel
Higher Derivative Tensors from Univariate Taylor Series with Comparison to Maple on an Engineering Problem
Article in
Proceedings GAMM99 Annual Meeting, Metz, 2000 |
Application Area:
Mechanical Engineering
Tools:
ADOL-C
|
|
|
R. M. Gower, A. L. Gower
Higher-order reverse automatic differentiation with emphasis on the third-order
Article in
Mathematical Programming, Springer Berlin Heidelberg,
2014 |
Tools:
ADOL-C
Theory & Techniques:
Higher Order
|
|
|
Masao Iri
History of Automatic Differentiation and Rounding Error Estimation
Automatic Differentiation of Algorithms: Theory, Implementation, and Application, SIAM,
1991 |
not yet classified
|
|
|
John D. Pryce, Nedialko S. Nedialkov, Guangning Tan, Xiao Li
How AD can help solve differential-algebraic equations
Article in
Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis,
2018 |
not yet classified
|
|
|
Jacques Morgenstern
How to Compute Fast a Function and All Its Derivatives, A Variation on the Theorem of Baur-Strassen
Article in
SIGACT News, 1985 |
not yet classified
|
|
|
J. Morgenstern
How to compute fast a function and all its derivatives. A variation on the theorem of Baur-Strassen
Laboratoire CNRS 168, Université de Nice, 1984 |
not yet classified
|
|
|
D. Schmidl, C. Terboven, A. Wolf, D. an Mey, C. H. Bischof
How to scale Nested OpenMP Applications on the ScaleMP vSMP Architecture
Conference proceeding,
Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER 2010), Heraklion, Greece, September 20--24, 2010, IEEE Computer Society,
2010 |
Application Area:
Geophysics
Tools:
ADIFOR
Theory & Techniques:
Parallelism
|
