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William F. Feehery, Paul I. Barton
A Differentiation-Based Approach to Dynamic Simulation and Optimization with High-Index Differential-Algebraic Equations
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Ulf Hutschenreiter
A New Method for Bevel Gear Tooth Flank Computation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Andreas Griewank, David Juedes, Jean Utke
A Package for the Automatic Differentiation of Algorithms Written in C/C++. User Manual
Institute of Scientific Computing, Technical University of Dresden, 1996
Tools:
ADOL-C
Sonja Berner
A Parallel Method for Verified Global Optimization
Conference proceeding, Scientific Computing and Validated Numerics, Akademie Verlag, 1996
not yet classified
Guy Chavent, Jérôme Jaffré, Sophie Jégou, Jun Liu
A Symbolic Code Generator for Parameter Estimation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Dmitri Shiriaev, Andreas Griewank, Jean Utke
A User Guide to ADOL--F: Automatic Differentiation of Fortran Codes
TU Dresden, Dept. of Mathematics, 1996
Tools:
ADOL-F
Anne K. Griffith, Nancy K. Nichols
Accounting for Model Error in Data Assimilation Using Adjoint Models
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Christian H. Bischof, Lucas Roh, Andrew Mauer
ADIC
Mathematics and Computer Science Division, Argonne National Laboratory, 1996
not yet classified
Christian H. Bischof, Alan Carle, Peyvand Khademi, Andrew Mauer
ADIFOR 2.0: Automatic Differentiation of Fortran 77 Programs
Article in IEEE Computational Science & Engineering, 1996
Tools:
ADIFOR
Peter Eberhard
Adjoint Variable Method for the Sensitivity Analysis of Multibody Systems Interpreted as Continuous, Hybrid Form of Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Dmitri Shiriaev
ADOL--F Automatic Differentiation of Fortran Codes
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Andreas Griewank, David Juedes, Jean Utke
Algorithm 755: ADOL-C: A Package for the Automatic Differentiation of Algorithms Written in C/ C++
Article in ACM Transactions on Mathematical Software, 1996
Tools:
ADOL-C
Theory & Techniques:
Hessian, Reverse Mode, Taylor Arithmetic, Forward Mode
Ralf Giering
AMC: Ein Werkzeug zum automatischen Differenzieren von Fortran-Programmen
Conference proceeding, Forschung und wissenschaftliches Rechnen, Beiträge zum Heinz-Billing-Preis 1995, Gesellschaft für wissenschaftliche Datenverarbeitung mbH, 1996
Application Area:
General
Tools:
AMC
P. R. Amestoy, T. A. Davis, I. S. Duff
An Approximate Minimum Degree Ordering Algorithm
Article in SIAM Journal on Matrix Analysis and Applications, 1996
Theory & Techniques:
Sparsity, Static Analysis
Michael Monagan, René R. Rodoni
An Implementation of the Forward and Reverse mode in Maple
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Louis B. Rall, George F. Corliss
An Introduction to Automatic Differentiation
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
General
C. Duval, P. Erhard, C. Faure, J. C. Gilbert
Application of the automatic differentiation tool Odyssée to a System of Thermohydraulic Equations
Conference proceeding, Proc. of ECCOMAS'96, volume Numerical Methods in Engineering'96, John Wiley & Sons, 1996
Application Area:
Thermalhydraulic
Tools:
Odyssee
Theory & Techniques:
Tangent
H. Fischer, B. Riedmüller, S. Schäffler
Applied Mathematics and Parallel Computation
Physica-Verlag, 1996
not yet classified
Victor V. Goldman, Gerard Cats
Automatic Adjoint Modeling within a Program Generation Framework: A Case Study for a Weather Forecasting Grid-Point Model
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
not yet classified
Uwe Geitner, Jean Utke, Andreas Griewank
Automatic Computation of Sparse Jacobians by Applying the Method of Newsam and Ramsdell
Computational Differentiation: Techniques, Applications, and Tools, SIAM, 1996
Theory & Techniques:
Sparsity

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