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math.OC2023
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces
Marta Lazzaretti, Zeljko Kereta, Luca Calatroni +1
We consider a stochastic gradient descent (SGD) algorithm for solving linear inverse problems (e.g., CT image reconstruction) in the Banach space framework of variable exponent Leb…
math.OC2021★ 5 cited
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
We consider structured optimisation problems defined in terms of the sum of a smooth and convex function, and a proper, l.s.c., convex (typically non-smooth) one in reflexive varia…