ADIFOR
Summary:
Given a Fortran 77 source code and a user's specification of dependent and independent variables, ADIFOR will generate an augmented derivative code that computes the partial derivatives of all of the specified dependent variables with respect to all of the specified independent variables in addition to the original result.
URL: http://www.mcs.anl.gov/adifor/
Developers:
 Mathematics and Computer Science Division,
Argonne National Laboratory
Center for Research on Parallel Computation, Rice University
Mode: 
Forward 
Method: 
Source transformation 
Supported Language: 
Fortran77 
Reference:
Christian H. Bischof, Alan Carle, George F. Corliss, Andreas Griewank, Paul D. Hovland
ADIFOR: Generating Derivative Codes from Fortran Programs
Article in Scientific Programming, 1992
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
ADIFOR: Generating Derivative Codes from Fortran Programs
Article in Scientific Programming, 1992
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
Features:
Full Fortran 77 Support,
Flexible Intrinsic Handler,
Transparent Sparsity Support
Supported Platforms:
 Windows
Unix/Linux
Licensing: free with restrictions
References on ADIFOR in our publication database: 105


























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Selected Applications:
 Interface Contraction in Biostatistics
 Differentiation of the SEPRAN Package
 Sensitivities of the Electrostatic Potential
 Differentiation of the TFS Package
 Solution of the Biomagnetic Inverse Problem
 Parameter Fitting in Neutron Scattering
 Design of a Satellite Boom
 Sensitivity Analysis of the MaTChM Atmospheric Chemistry Model
 Sensitivity Analysis of a Mesoscale Weather Model
 Multidisciplinary Design of Aircraft
 Sensitivities of Flow and Transport Parameters
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