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Order by: [Title], [Author], [Editor], [Year]
Christian H. Bischof, Paul D. Hovland
Automatic Differentiation: Parallel Computation
Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
Theory & Techniques:
Parallelism
Herbert Fischer
Automatic differentiation: Parallel computation of function, gradient and Hessian matrix
Article in Parallel Computing, 1990
not yet classified
L. B. Rall, G. F. Corliss
Automatic Differentiation: Point and Interval
Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
not yet classified
J. B. Walters, G. C. Corliss
Automatic Differentiation: Point and interval Taylor operators
Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
not yet classified
H. Fischer
Automatic Differentiation: Root Problem and Branch Problem
Encyclopedia of Optimization, Kluwer Academic Publishers, 2001
not yet classified
Louis B. Rall
Automatic Differentiation: Techniques and Applications
Springer, 1981
Theory & Techniques:
General
H. Fischer
Automatic differentiation: The key idea and an illustrative example
Applied Mathematics and Parallel Computing, Physica-Verlag, 1996
Theory & Techniques:
Introduction
Andreas Griewank
Automatic Directional Differentiation of Nonsmooth Composite Functions
Conference proceeding, Recent Developments in Optimization, French-German Conference on Optimization, 1994
not yet classified
Anthony S. Wexler
Automatic Evaluation of Derivatives
Article in Applied Mathematics and Computation, 1987
not yet classified
Andreas Griewank
Automatic Evaluation of First- and Higher-Derivative Vectors
Proceedings of the Conference at Würzburg, Aug. 1990, Bifurcation and Chaos: Analysis, Algorithms, Applications, Birkhäuser Verlag, 1991
not yet classified
Leigh Tesfatsion
Automatic Evaluation of Higher-Order Partial Derivatives for Nonlocal Sensitivity Analysis
Automatic Differentiation: Applications, Theory, and Implementations, SIAM, 1991
not yet classified
U. Naumann, M. Maier, J. Riehme, B. Christianson
Automatic First- and Second-Order Adjoints for Truncated Newton
Conference proceeding, Proceedings of IMCSIT'07, PTI, 2007
Application Area:
Optimization
Tools:
NAGWare Fortran 95
Theory & Techniques:
Second-Order Adjoint
Asgeir Birkisson, Tobin A. Driscoll
Automatic Fr\échet Differentiation for the Numerical Solution of Boundary-Value Problems
Article in ACM Trans. Math. Softw., ACM, 2012
Theory & Techniques:
Frechet Differentiation
P. Heimbach, C. Hill, Ralf Giering
Automatic Generation of Efficient Adjoint Code for a Parallel Navier-Stokes Solver
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
Application Area:
Oceanography
Tools:
TAF, TAMC
P. van den Heuvel, J. A. van Hulzen, Victor V. Goldman
Automatic generation of FORTRAN-coded Jacobians and Hessians
Proceedings of EUROCAL 87, Springer Verlag, 1987
not yet classified
H. M. Bücker, A. Rasch, A. Vehreschild
Automatic Generation of Parallel Code for Hessian Computations
Conference proceeding, OpenMP Shared Memory Parallel Programming, Proceedings of the International Workshops IWOMP 2005 and IWOMP 2006, Eugene, OR, USA, June 1--4, 2005, and Reims, France, June 12--15, 2006, Springer, 2008
Tools:
ADIFOR
Theory & Techniques:
Hessian, Parallelism
Alan Reiter
Automatic generation of Taylor coefficients (TAYLOR)
Mathematics Research Center, University of Wisconsin - Madison, 1965
not yet classified
Alan Reiter
Automatic generation of Taylor coefficients (TAYLOR) for the CDC 1604
Mathematics Research Center, University of Wisconsin - Madison, 1967
not yet classified
George F. Corliss, Louis B. Rall
Automatic generation of Taylor series in Pascal-SC: Basic operations and applications to differential equations
Trans. of the First Army Conference on Applied Mathematics and Computing (Washington, D.C., 1983), ARO Rep. 84-1, U. S. Army Res. Office, 1984
not yet classified
Bruce Christianson
Automatic Hessians by Reverse Accumulation
Article in IMA J. Numerical Anal., 1992
Theory & Techniques:
Hessian, Reverse Mode

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