AD Tool: ADOL-C
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ADOL-C


Summary:
The package ADOL-C facilitates the evaluation of first and higher derivatives of vector functions that are defined by computer programs written in C or C++. The resulting derivative evaluation routines may be called from C/C++, Fortran, or any other language that can be linked with C. ADOL-C is distributed by the COIN-OR Foundation with the Common Public License CPL or the GNU General Public License GPL.

URL: http://www.coin-or.org/projects/ADOL-C.xml

Developers:
Mode: Forward
Reverse
 
Method: Operator overloading
 
supported Language: C/C++

Reference:
A. Walther, A. Griewank
Getting started with ADOL-C
Combinatorial Scientific Computing, Chapman-Hall CRC Computational Science, 2012



Features:


ADOL-C uses the operator overloading concept to compute in forward and reverse mode of automatic differentiation:

  • derivatives of any order

  • one-sided derivatives in non-smooth cases (e.g. evaluation of fabs)


For that purpose, scalar as well as vector modes are implemented.
Furthermore, ADOL-C provides drivers for the most common differentiation tasks, e.g.

  • gradient(....), jacobian(...), hessian(...)

  • jac_vec(...), vec_jac(...), hess_vec(...)


Additionally, ADOL-C can exploit the sparsity of derivative matrices by

  • calculating the sparsity pattern of Jacobians and Hessians

  • calculating compressed representations of sparse Jacobians and Hessians


Furthermore, ADOL-C provides

  • full higher-order derivative tensors

  • several special drivers, e.g. for ODEs

  • advanced automatic differentiation, i.e.,

    • optimal checkpointing for time integrations

    • adapted automatic differentiation for fixpoint iterations



  • parallel automatic differentiation for OpenMP parallel programs



Supported Platforms:
  • Unix/Linux
  • Mac


Licensing: open source

References on ADOL-C in our publication database:  78

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