This collection covers advances in automatic differentiation theory and practice. Computer scientists and mathematicians will learn about recent developments in automatic differentiation theory as well as mechanisms for the construction of robust and powerful automatic differentiation tools. Computational scientists and engineers will benefit from the discussion of various applications, which provide insight into effective strategies for using automatic differentiation for inverse problems and design optimization.
Cited By
- Naumann U (2019). Adjoint Code Design Patterns, ACM Transactions on Mathematical Software, 45:3, (1-32), Online publication date: 30-Sep-2019.
- Safiran N, Lotz J and Naumann U (2016). Algorithmic Differentiation of Numerical Methods, Procedia Computer Science, 80:C, (2231-2235), Online publication date: 1-Jun-2016.
- Lotz J, Schwalbach M and Naumann U (2016). A Case Study in Adjoint Sensitivity Analysis of Parameter Calibration, Procedia Computer Science, 80:C, (201-211), Online publication date: 1-Jun-2016.
- Safiran N, Lotz J and Naumann U (2015). Second-order Tangent Solvers for Systems of Parameterized Nonlinear Equations, Procedia Computer Science, 51:C, (231-238), Online publication date: 1-Sep-2015.
- Naumann U, Lotz J, Leppkes K and Towara M (2015). Algorithmic Differentiation of Numerical Methods, ACM Transactions on Mathematical Software (TOMS), 41:4, (1-21), Online publication date: 26-Oct-2015.
- Roth P and Meredith J Value influence analysis for message passing applications Proceedings of the 28th ACM international conference on Supercomputing, (145-154)
- Hascoet L and Pascual V (2013). The Tapenade automatic differentiation tool, ACM Transactions on Mathematical Software, 39:3, (1-43), Online publication date: 1-Apr-2013.
- Moré J and Wild S (2012). Estimating Derivatives of Noisy Simulations, ACM Transactions on Mathematical Software, 38:3, (1-21), Online publication date: 1-Apr-2012.
- Bücker H, Rasch A, Rath V and Wolf A Semi-automatic parallelization of direct and inverse problems for geothermal simulation Proceedings of the 2009 ACM symposium on Applied Computing, (971-975)
Index Terms
- Advances in Automatic Differentiation
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