LMS Research School: Adaptive Methods and Model Reduction for PDEs
29 Nov 2021, by Sponsored events in15 – 19 May 2023
University of Nottingham, UK
The aim of the school is to expose young researchers to state-of-the-art model reduction and adaptivity techniques for PDEs, showcasing their interplay and core position within computational modelling, machine learning and engineering applications. These topics are of vital importance to train the next generation of computational and data scientists.
Organisers:
Andrea Cangiani (SISSA)
Paul Houston (Nottingham)
Kris van der Zee (Nottingham)
Lecturers and Plenary Speakers
Zhiqiang Cai (Purdue)
Andrea Cangiani (SISSA)
Paul Houston (Nottingham)
Olga Mula (Eindhoven)
Simona Perotto (Politecnico di Milano)
Serge Prudhomme (École Polytechnique de Montréal)
Gianluigi Rozza (SISSA)
Davide Torlo (SISSA)
Kris van der Zee (Nottingham)
Barbara Wohlmuth (TU München)
More information on the Research School Website