Seminar / Workshop
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Part 3: Proximal Gradient Methods
Proximal Methods in Numerical Optimization – Seminar series
4 March 2026, start time 11:30 - 13:30
Ferrari 1 Building, Via Sommarive 5, Povo (Trento)
Room A109
Free
Organizer: Dipartimento di Ingegneria Industriale
Target audience: UniTrento PhD students, University community
Referent: Professor Enrico Bertolazzi - enrico.bertolazzi@unitn.it
Contacts:
Staff of the Department of Industrial Engineering
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The seminar series is particularly recommended for PhD students.
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Speaker: Dr. Alberto De Marchi
We address structured problems of the form min┬x f(x)+g(x) where f(x) is differentiable and g(x) is prox-friendly, combining smooth and nonsmooth optimization.
Short bio:
Alberto De Marchi is a Postdoctoral Research Associate at the Institute of Applied Mathematics and Scientific Computing, University of the Bundeswehr Munich (Germany), where he received his PhD in 2021. He obtained an M.Sc. in Mechatronics Engineering from the University of Trento. He was awarded the 2022 Best Paper Prize in Computational Optimization and Applications. His research focuses on the design and analysis of computational tools for mathematical optimization problems.
Documento