Nonlinear splitting of gradients and constraints yields semi-implicit gradient methods and cheaper adjoint gradients, demonstrated on nonconvex benchmarks, quantum tomography, and kinetic transport.
Implicit-explicit methods for time- dependent partial differential equations.SIAM Journal on Numerical Analysis, 32(3):797–823,
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Nonlinear Splitting for Gradient-Based Unconstrained and Adjoint Optimization
Nonlinear splitting of gradients and constraints yields semi-implicit gradient methods and cheaper adjoint gradients, demonstrated on nonconvex benchmarks, quantum tomography, and kinetic transport.