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Automatic Differentiation (12)

Categories:

Sites:

http://www.math.uwaterloo.ca/CandO_Dept/securedDownloadsWhitelist/
» ADMAT Open in a new browser window
   The Numerical solution of large scale nonlinear problems in Matlab involves computing the derivative information in the form of gradients, Jacobian and Hessian matrices. ADMAT/ADMIT is developed by the University of Waterloo, Canada. Downloads are availab
   http://www.math.uwaterloo.ca/CandO_Dept/securedDownloadsWhitelist/
http://www.autodiff.org
» Autodiff.org Open in a new browser window
   Overview, resources and examples on Automatic Differentiation, as well as and index of conferences and publications.
   http://www.autodiff.org
http://www.bt.pa.msu.edu/index_cosy.htm
» COSY Infinity Open in a new browser window
   A system for the use of automatic differentiation and Taylor Models in Fortran and C++, developed by the Michigan State University, USA. While site contains links to manual and description, the tool is only available through registration.
   http://www.bt.pa.msu.edu/index_cosy.htm
http://www.coin-or.org/CppAD/
» CppAD Open in a new browser window
   A Package for Differentiation of C++ Algorithms developed by the COmputational INfrastructure for Operations Research (COIN-OR) project. Windows and Linux Binaries are available for download as well as documentation and source code.
   http://www.coin-or.org/CppAD/
http://www.fastopt.de
» FastOpt Open in a new browser window
   Company provides tools for Automatic Differentiation and their application in Geoscience, Economics, Engineering and Mathematics. Home of the commercial tools TAF (Fortran) and TAC++ (C++).
   http://www.fastopt.de
http://www.ti3.tu-harburg.de/rump/intlab/
» INTLAB Open in a new browser window
   INTerval LABoratory is the Matlab toolbox for self-validating algorithms, developed by the Hamburg University of Technology, Germany. Along with examples and related publications, the source code can be downloaded freely for private and academic use. Comm
   http://www.ti3.tu-harburg.de/rump/intlab/
http://www.amorg.co.uk/AD/MAD/index.html
» Matlab Automatic Differentiation (MAD) Open in a new browser window
   Automatic Differentiation addon for the TOMLAB optimization package for Matlab, developed by Cranfield University, UK. Site contains links to related publications and User Guide, however the package is commercially distributed by TOMLAB.
   http://www.amorg.co.uk/AD/MAD/index.html
http://www-unix.mcs.anl.gov/~utke/OpenAD/
» OpenAD Open in a new browser window
   A flexible, modular, open source tool that can generate adjoint codes of numerical simulation programs written in C and Fortan. Along with examples, case studies, documentation and related publications, Test Binaries can be downloaded from freely from CVS
   http://www-unix.mcs.anl.gov/~utke/OpenAD/
http://www.math.tu-dresden.de/wir/project/revolve/
» REVOLVE Open in a new browser window
   For adjoint calculations, derivative computations using the reverse mode of automatic differentiation, one may need to reverse the execution of a computer program. Site contains links to source code for C and Fortran, as well as description and publicatio
   http://www.math.tu-dresden.de/wir/project/revolve/
http://www-fp.mcs.anl.gov/autodiff/
» The Computational Differentiation Project Open in a new browser window
   Technologies for generating efficient derivative code for models implemented as computer programs, developed by the Argonne National Laboratory, USA. While the tool ADIC (ANSI C) is available for download as source code, ADIFOR (Fortran) is only available
   http://www-fp.mcs.anl.gov/autodiff/
http://autodiff.com/tamc/
» The Tangent linear and Adjoint Model Compiler (TAMC) Open in a new browser window
   A source-to-source translator that generates Fortran routines for computation of the first-order derivatives out of Fortran routines. Site contains documentation and references to publications. Usage is restricted to non-commercial and educational applica
   http://autodiff.com/tamc/
http://en.wikipedia.org/wiki/Automatic_differentiation
» Wikipedia: Automatic Differentiation Open in a new browser window
   In mathematics and computer algebra, automatic differentiation is a method to numerically evaluate the derivative of a function specified by a computer program.
   http://en.wikipedia.org/wiki/Automatic_differentiation

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Last Updated: 2008-03-18 08:02:47





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