Two-day workshop on Numerical Linear Algebra and its Applications

Overview
This is the 21st workshop in a series dedicated to Numerical Linear Algebra and its applications. It aims to gather the Italian scientific community in Numerical Linear Algebra to discuss recent advances in this area and to promote the exchange of novel ideas and collaboration among researchers. We strongly encourage contributions by junior scholars on theoretical and computational topics, as well as on applications. Contributions covering other areas requiring tools from Numerical Linear Algebra are very welcome.
Topics of interest include (but are not limited to): iterative methods for large-scale linear systems, preconditioning, eigen and singular values, numerical optimization, numerical dynamical systems, mathematics of machine learning, structured matrices, tensors, matrix functions, Krylov methods, and randomized linear algebra algorithms. Applications include optimization and control, image processing and inverse problems, networks and graphs, machine learning and artificial neural networks, uncertainty quantification, finance, material sciences, life sciences, and industrial processes.
Steering committee
Michele Benzi (SNS Pisa), Marco Donatelli (UnInsubria), Beatrice Meini (UniPI), Valeria Simoncini (UniBO)
Organizing committee
Dario Fasino (UniUD)
Previous editions
- 1997, Università di Pavia
- 2000, Università di Pisa
- 2002, Università di Pisa
- 2002, Università di Pisa
- 2004, CISM, Udine
- 2005, Università dell'Insubria, Varese
- 2006, Università di Pisa
- 2007, Università di Padova
- 2008, Università di Bologna
- 2009, Università di Perugia
- 2011, Università dell'Insubria, Como
- 2012, Università di Genova
- 2013, Università di Roma Tor Vergata
- 2017, Università dell'Insubria, Como
- 2018, Università di Padova
- 2019, Università di Roma Sapienza
- 2022, Università di Napoli Federico II
- 2022, ALAMA-ALN2gg, University of Alcalá, Madrid
- 2023, Gran Sasso Science Institute, L'Aquila
- 2025, Università di Pisa
![]() |
![]() |

