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Order by: [Title], [Author], [Editor], [Year]
Jan E. Mehner
Parametric Model Extraction for MEMS Based on Variational Finite Element Techniques
Conference proceeding, The 13th International Conference on Solid-State Sensors, Actuators and Microsystems, 2005. Digest of Technical Papers. TRANSDUCERS '05., Seoul, Korea, June 4--9, 2005, 2005
Application Area:
MEMS
M. Petera, M. Lülfesmann, H. M. Bücker
Partial Jacobian Computation in the Domain-specific Program Transformation System ADiCape
Conference proceeding, Proceedings of the International Multiconference on Computer Science and Information Technology, Mr&acedil;gowo, Poland, October 12--14, 2009, IEEE Computer Society, 2009
Tools:
ADiCape
Theory & Techniques:
graph coloring
M. Lülfesmann
Partielle Berechnung von Jacobi--Matrizen mittels Graphfärbung
Conference proceeding, Informatiktage 2007, Fachwissenschaftlicher Informatik-Kongress, 30. und 31. März 2007, B-IT Bonn-Aachen International Center for Information Technology, Bonn, 2007
Theory & Techniques:
Sparsity
Andreas Griewank, Phillipe L. Toint
Partitioned Variable Metric Updates for Large Structured Optimization Problems
Article in Numer. Math., 1982
not yet classified
Bruce R. Stephens, John D. Pryce
Passing functions in Fortran for automatic differentiation
School of Mathematics, University of Bristol, 1987
not yet classified
A. J. Keane
Passive Vibration Control via Unusual Geometries: The Application of Genetic Algorithm Optimization to Structural Design
Article in Journal of Sound and Vibration, 1995
not yet classified
Shahadat Hossain, Nasrin Hakim Mithila
Pattern graph for sparse Hessian matrix determination
Article in Special issue of Optimization Methods & Software: Advances in Algorithmic Differentiation, Taylor & Francis, 2018
not yet classified
M. Liepelt, K. Schittkowski
PCOMP: A FORTRAN Code for Automatic Differentiation
DFG Schwerpunktprogramm Anwendungsbezogene Optimierung und Optimale Steuerung, Mathematisches Institut, Universität Bayreuth, 1990
Tools:
PCOMP
Klaus Schittkowski
PCOMP: A modeling language for nonlinear programs with automatic differentiation
Modeling Languages in Mathematical Optimization, Kluwer Academic Publishers, 2004
Tools:
PCOMP
Mohamed Tadjouddine, Shaun A. Forth, John D. Pryce, John K. Reid
Performance Issues for Vertex Elimination Methods in Computing Jacobians using Automatic Differentiation
Conference proceeding, Computational Science -- ICCS 2002, Proceedings of the International Conference on Computational Science, Amsterdam, The Netherlands, April 21--24, 2002. Part II, Springer, 2002
Tools:
EliAD
Theory & Techniques:
Code Optimization, Data Flow Analysis, X-Country
François Bodin, Antoine Monsifrot
Performance Issues in Automatic Differentiation on Superscalar Processors
Automatic Differentiation of Algorithms: From Simulation to Optimization, Springer, 2002
Theory & Techniques:
Performance
Alfonso Callejo, Sri Hari Krishna Narayanan, de Jalon, Javier Garcia, Boyana Norris
Performance of automatic differentiation tools in the dynamic simulation of multibody systems
Article in Advances in Engineering Software, 2014
Application Area:
Multibody Systems
Tools:
ADIC
George F. Corliss
Performance of self-validating quadrature
Proceedings of the NATO Advanced Workshop on Numerical Integration: Recent Developments, Software, and Applications, Reidel, 1987
not yet classified
Daniele Casanova
Performance Optimisation of Formula One Cars
2000
not yet classified
Stefan Goedecker, Adolfy Hoisie
Performance Optimization of Numerically Intensive Codes
SIAM, 2001
not yet classified
Richard James Casey
Periodic Orbits in Neural Models: Sensitivity Analysis and Algorithms for Parameter Estimation
Ph.D. thesis, Cornell University, 2004
Application Area:
Biology
Tools:
ADOL-C, ADMC++
Theory & Techniques:
Reverse Mode, Taylor Arithmetic, Forward Mode
Eric Phipps, Richard Casey, John Guckenheimer
Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Tools:
ADMC++
Louis B. Rall
Perspectives on Automatic Differentiation: Past, Present, and Future?
Automatic Differentiation: Applications, Theory, and Implementations, Springer, 2005
Theory & Techniques:
General, History
Jeffrey Mark Siskind, Barak A. Pearlmutter
Perturbation Confusion and Referential Transparency: Correct Functional Implementation of Forward-Mode AD
Conference proceeding, Implementation and Application of Functional Languages---17th International Workshop, IFL'05, 2005
Tools:
Haskell
Theory & Techniques:
Forward Mode, Functional Programming
O. Manzyuk, B. A. Pearlmutter, A. A. Radul, D. R. Rush, J. M. Siskind
Perturbation confusion in forward automatic differentiation of higher-order functions
Article in Journal of Functional Programming, Cambridge University Press, 2019
Theory & Techniques:
Higher Order

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