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Iterative regularization via dual diagonal descent - Villa - Workshop 3 - CEB T1 2019
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Silvia Villa (Università di Genova) / 01.04.2019
Iterative regularization via dual diagonal descent.
In this talk I wlll consider iterative regularization methods for solving linear inverse problems. An advantage of iterative regularization strategies with respect to Tikhonov regularization is that they are developed in conjunction with an optimization algorithm, adapted to the structure of the problem at hand, and the number of iterations plays the role of a regularization parameter. I will show that dual proximal gradient algorithms can be used as iterative regularization procedures, both in the standard and accelerated version. Theoretical findings are complemented with numerical experiments showing state- of-the-art performances.
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Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités.
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Langue : Anglais; Date : 01.04.2019; Conférencier : Villa, Silvia; Évenement : Workshop 3 - CEB T1 2019; Lieu : IHP; Mots Clés :
Iterative regularization via dual diagonal descent.
In this talk I wlll consider iterative regularization methods for solving linear inverse problems. An advantage of iterative regularization strategies with respect to Tikhonov regularization is that they are developed in conjunction with an optimization algorithm, adapted to the structure of the problem at hand, and the number of iterations plays the role of a regularization parameter. I will show that dual proximal gradient algorithms can be used as iterative regularization procedures, both in the standard and accelerated version. Theoretical findings are complemented with numerical experiments showing state- of-the-art performances.
----------------------------------
Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités.
*************************************
Langue : Anglais; Date : 01.04.2019; Conférencier : Villa, Silvia; Évenement : Workshop 3 - CEB T1 2019; Lieu : IHP; Mots Clés :
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