International Workshop on Reduced Order Methods (Postponed)

(01 May 2023–01 May 2023)

Description

This event has been postponed to Year 2023 or later.

Organizing Committee

 

Co-chairs

 
 

Contact Information

General Enquiries: ims(AT)nus.edu.sg
Scientific Aspects Enquiries: quaini(AT)math.uh.edu

Overview

This is a one-week program gathering mathematicians, engineers, and scientists interested in reduced order models and methods (ROMs) for systems of partial differential equations. The general idea behind ROMs is to derive a low-dimensional model from a high-dimensional model, by integrating techniques from data science, modeling, and simulation, in order to obtain accurate and reliable results at greatly reduced computational costs. The high-dimensionality of the original model may be due to its intrinsic character, e.g. the problem may contain many parameters, or it may be due to the discretization, e.g. a fine discretization required by a complex geometry or a singularity in the solution that leads to a large number of degrees of freedom.

Subthemes include:

  • Inverse problems arising in optimal control, parameter estimation, and data assimilation.
  • Uncertainty quantification.
  • Continuum Mechanics, including nonlinear problems and multiphysics.
  • Scientific computing aspects of reduced order methods, with attention to the offline-online paradigm and High Performance Computing for the offline phase.
  • Reduction and design of parameter spaces.

Activities

TBA

List of Participants

Annalisa Quaini University of Houston, USA
Gianluigi Rozza Scuola Internazionale Superiore di Studi Avanzati, Italy
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