Publication Database
Introduction
Applications
Tools
Research Groups
Workshops
Publications
   List Publications
   Advanced Search
   Info
   Add Publications
My Account
About


John E. Tolsma, Paul I. Barton
Hidden Discontinuities and Parametric Sensitivity Calculations
Article in SIAM Journal on Scientific Computing, SIAM, 2002
Application Area:
Differential-Algebraic Equation
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
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

back
  

Contact:
autodiff.org
Username:
Password:
(lost password)