Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent

In this work, we present a novel variant of the stochastic gradient descent method termed as iteratively regularized stochastic gradient descent (IRSGD) method to solve nonlinear ill-posed problems in Hilbert spaces. Under standard assumptions, we demonstrate that the mean square iteration error of...

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Hauptverfasser: Bajpai, Harshit, Mittal, Gaurav, Giri, Ankik Kumar
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Sprache:eng
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