Automatic Differentiation of C++ Codes for Large-Scale Scientific Computing

DOI10.1007/11758549_73zbMath1157.65333OpenAlexW1545172877MaRDI QIDQ5301484

Roscoe A. Bartlett, David M. Gay, Eric T. Phipps

Publication date: 20 January 2009

Published in: Computational Science – ICCS 2006 (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/11758549_73

Mathematics Subject Classification ID

Numerical differentiation (65D25)

Related Items (11)

Code-verification techniques for hypersonic reacting flows in thermochemical nonequilibrium ⋮ The \texttt{deal.II} library, Version 9.3 ⋮ Automatic solver for non-linear partial differential equations with implicit local laws: Application to unilateral contact ⋮ Robust design optimization for enhancing delamination resistance of composites ⋮ The \textsc{deal.II} finite element library: design, features, and insights ⋮ Material optimization to enhance delamination resistance of composite structures using viscous regularization ⋮ Goal-oriented adaptive surrogate construction for stochastic inversion ⋮ Variational implementation of immersed finite element methods ⋮ Camellia: a rapid development framework for finite element solvers ⋮ PETSc TSAdjoint: A Discrete Adjoint ODE Solver for First-Order and Second-Order Sensitivity Analysis ⋮ Fast Reverse-Mode Automatic Differentiation using Expression Templates in C++

Uses Software

• ADIFOR
• TAPENADE
• CHEMKIN
• FastDer++
• TFad
• OpenAD

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