
John E. Tolsma, Paul I. Barton
Hidden Discontinuities and Parametric Sensitivity Calculations
Article in
SIAM Journal on Scientific Computing, SIAM,
2002 
Application Area: DifferentialAlgebraic 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 1821, 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 1215, SCS Publishing House,
2005 
Application Area: Multisensorics Tools: ADiMat


Shaun A. Forth, R. Ketzscher
Highlevel 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
Highlevel 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
HighOrder 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
HighOrder 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
HighOrder 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
HighOrder 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
HighOrder 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
HighPerformance 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: ADOLC


R. M. Gower, A. L. Gower
Higherorder reverse automatic differentiation with emphasis on the thirdorder
Article in
Mathematical Programming, Springer Berlin Heidelberg,
2014 
Tools: ADOLC 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 differentialalgebraic 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 BaurStrassen
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 BaurStrassen
Laboratoire CNRS 168, Université de Nice, 1984 
not yet classified
