About this Event
This 5-day conference will bring together the international community of computational scientists, engineers, mathematicians, and domain experts from industry, the national laboratories and academia to address the topic of model reduction and surrogate modeling for high-dimensional complex systems. Model reduction and surrogate modeling is a field of research that combines applied and computational mathematics, computer science and many engineering domains. Approximating high-dimensional complex systems with low-dimensional efficient surrogate models requires rigorous mathematical analysis and algorithms. The issue of data sparsity and the multiscale nature of the data has been at the forefront of recent developments, while building on a 30-year history of increasingly complex reduced-model development. Moreover, methods that extrapolate well in time and when input parameter change, are of great interest to this community.
https://more2024.sciencesconf.org
Event Venue & Nearby Stays
Scripps Seaside Forum, 8610 Kennel Way, San Diego, United States
