Automated reverse-mode adjoints are added to the Dedalus spectral PDE framework via symbolic graph differentiation, enabling gradient-based optimization for a wide range of time-dependent nonlinear problems without manual adjoint coding.
dolfin- adjoint 2018.1: automated adjoints for FEniCS and Fire- drake
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Fast automated adjoints for spectral PDE solvers
Automated reverse-mode adjoints are added to the Dedalus spectral PDE framework via symbolic graph differentiation, enabling gradient-based optimization for a wide range of time-dependent nonlinear problems without manual adjoint coding.