ADOL-C: Automatic Differentiation of C/C++. We present two strategies for the implementation of Automatic Differentiation (AD) based on the operator overloading facility in C++. Subsequently, we describe the capabilities of the AD-tool ADOL-C that applies operator overloading to differentiate C- and C++-code. Finally, we discuss some applications of ADOL-C.

This software is also referenced in ORMS.

References in zbMATH (referenced in 249 articles , 1 standard article )

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  1. Körkel, Stefan: Numerical methods for optimal experimental design problems for nonlinear DAE models (2002)
  2. Röbenack, K.; Reinschke, K. J.: System inversion for nonlinear descriptor systems (2002)
  3. Vogel, O.; Griewank, A.; Bär, G.: Direct gear tooth contact analysis for hypoid bevel gears (2002)
  4. Duggan, Dominic: Finite subtype inference with explicit polymorphism (2001)
  5. Potschka, Andreas: A direct method for the numerical solution of optimization problems with time-periodic PDE constraints. (2001)
  6. Charpentier, Isabelle; Ghemires, Mohammed: Efficient adjoint derivatives: Application to the meteorological model Meso-NH (2000)
  7. Coleman, Thomas F.; Santosa, Fadil; Verma, Arun: Efficient calculation of Jacobian and adjoint vector products in the wave propagational inverse problem using automatic differentiation (2000)
  8. Coleman, Thomas F.; Verma, Arun: ADMIT-1. Automatic differentiation and MATLAB interface toolbox. (2000)
  9. Faure, Christèle: Generating adjoints of industrial codes with limited memory (2000)
  10. Ferris, Michael C.; Sinapiromsaran, Krung: Formulating and solving nonlinear programs as mixed complementarity problems (2000)
  11. Griewank, Andreas; Utke, Jean; Walther, Andrea: Evaluating higher derivative tensors by forward propagation of univariate Taylor series (2000)
  12. Guckenheimer, John; Meloon, Brian: Computing periodic orbits and their bifurcations with automatic differentiation (2000)
  13. Klein, Wolfram; Walther, Andrea: Application of techniques of computational differentiation to a cooling system (2000)
  14. Choe, Won Gyu; Guckenheimer, J.: Computing periodic orbits with high accuracy (1999)
  15. Coleman, Thomas F.; Jonsson, Gudbjorn F.: The efficient computation of structured gradients using automatic differentiation (1999)
  16. Ferris, Michael C.; Munson, Todd S.: Interfaces to PATH 3.0: Design, implementation and usage (1999)
  17. Geiger, Carl; Kanzow, Christian: Numerical methods for solution of unconstrained optimization problems (1999)
  18. Järvi, Jaakko: Object-oriented model for partially separable functions in parameter estimation (1999)
  19. Mohammadi, Bijan; Pironneau, Olivier: Mesh adaption and automatic differentiation in a CAD-free framework for optimal shape design (1999)
  20. Pönisch, G.; Schnabel, U.; Schwetlick, H.: Computing multiple turning points by using simple extended systems and computational differentiation (1999)

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