36 citations · 36 across the 1 of their papers we have counts for
3 papers
math.NA2014★ 36 cited
A new steplength selection for scaled gradient methods with application to image deblurring
Federica Porta, Marco Prato, Luca Zanni
Gradient methods are frequently used in large scale image deblurring problems since they avoid the onerous computation of the Hessian matrix of the objective function. Second order…
math.NA2013
On the filtering effect of iterative regularization algorithms for linear least-squares problems
Anastasia Cornelio, Federica Porta, Marco Prato +1
Many real-world applications are addressed through a linear least-squares problem formulation, whose solution is calculated by means of an iterative approach. A huge amount of stud…
math.NA2009
Accelerating gradient projection methods for -constrained signal recovery by steplength selection rules
I. Loris, M. Bertero, C. De Mol +2
We propose a new gradient projection algorithm that compares favorably with the fastest algorithms available to date for -constrained sparse recovery from noisy data, both…