ADOL-C

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.

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

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  1. Campbell, Stephen L.; Moore, Edward; Zhong, Yangchun: Utilization of automatic differentiation in control algorithms (1994)
  2. Conn, Andrew R.; Gould, Nick; Toint, Philippe L.: Large-scale nonlinear constrained optimization: A current survey (1994)
  3. Kubota, K.: Matrix inversion algorithms by means of automatic differentiation (1994)
  4. Yen, Jeng; Chou, Chien-Chun: Automatic generation and numerical integration of differential-algebraic equations of multibody dynamics (1993)
  5. Bischof, Christian H.: Issues in parallel automatic differentiation (1991)
  6. Juedes, David W.: A taxonomy of automatic differentiation tools (1991)
  7. Rump, S. M.: Estimation of the sensitivity of linear and nonlinear algebraic problems (1991)
  8. Tesfatsion, Leigh: Work by Robert Kalaba on automated sensitivity analysis (1991)
  9. Thames, Joseph: Synthetic calculus. -- A paradigm of mathematical program synthesis (1991)

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