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When topological derivatives met regularized Gauss-Newton iterations in holographic 3D imaging.
Ana Carpio
Thomas G. Dimiduk
Frédérique Le Louër
María-Luisa Rapún
Published in:
J. Comput. Phys. (2019)
Keyphrases
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gauss newton
convergence analysis
levenberg marquardt
least squares
newton method
active appearance models
regularized least squares
objective function
optimal solution
artificial neural networks
gaussian process
support vector
back propagation
optimality conditions