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math.NA2024
Hanke-Raus heuristic rule for iteratively regularized stochastic gradient descent
Harshit Bajpai, Gaurav Mittal, Ankik Kumar Giri
Over the past decade, stochastic algorithms have emerged as scalable and efficient tools for solving large-scale ill-posed inverse problems by randomly selecting subsets of equatio…
math.FA2024
Stochastic Data-Driven Bouligand Landweber Method for Solving Non-smooth Inverse Problems
Harshit Bajpai, Gaurav Mittal, Ankik Kumar Giri
In this study, we present and analyze a novel variant of the stochastic gradient descent method, referred as Stochastic data-driven Bouligand Landweber iteration tailored for addre…