dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake

Python GLSL Submitted 31 December 2018Published 18 June 2019
Review

Editor: @Kevin-Mattheus-Moerman (all papers)
Reviewers: @chrisrichardson (all reviews), @IgorBaratta (all reviews)

Authors

Sebastian K. Mitusch (0000-0002-8888-6568), Simon W. Funke (0000-0003-4709-8415), Jørgen S. Dokken (0000-0001-6489-8858)

Citation

Mitusch et al., (2019). dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake. Journal of Open Source Software, 4(38), 1292, https://doi.org/10.21105/joss.01292

@article{Mitusch2019, doi = {10.21105/joss.01292}, url = {https://doi.org/10.21105/joss.01292}, year = {2019}, publisher = {The Open Journal}, volume = {4}, number = {38}, pages = {1292}, author = {Sebastian K. Mitusch and Simon W. Funke and Jørgen S. Dokken}, title = {dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake}, journal = {Journal of Open Source Software} }
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finite element method optimization adjoint gradients partial differential equations

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