72 citations · 145 across the 7 of their papers we have counts for
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math.NA2020
PNKH-B: A Projected Newton-Krylov Method for Large-Scale Bound-Constrained Optimization
Kelvin Kan, Samy Wu Fung, Lars Ruthotto
We present PNKH-B, a projected Newton-Krylov method for iteratively solving large-scale optimization problems with bound constraints. PNKH-B is geared toward situations in which fu…
math.NA2018
Gauss-Newton Optimization for Phase Recovery from the Bispectrum
James L. Herring, James Nagy, Lars Ruthotto
Phase recovery from the bispectrum is a central problem in speckle interferometry which can be posed as an optimization problem minimizing a weighted nonlinear least-squares object…
math.NA2018
Never look back - A modified EnKF method and its application to the training of neural networks without back propagation
Eldad Haber, Felix Lucka, Lars Ruthotto
In this work, we present a new derivative-free optimization method and investigate its use for training neural networks. Our method is motivated by the Ensemble Kalman Filter (EnKF…