Event Description: Alireza Doostan, Department of Aerospace Engineering Sciences, °ÄÃÅ¿ª½±½á¹û2023¿ª½±¼Ç¼ Uncertainty Quantification Using Low-fidelity DataÌý Realistic analysis and design of multi-disciplinary engineering systems require not onlyÌý The use of model reduction has become widespread as a means to reduce computational cost for UQ of PDE systems. This talk introduces a model reduction technique that exploits the low-rank structure of the stochastic solution of interest – when exists – for fastÌý This is a joint work with Hillary Fairbanks (°ÄÃÅ¿ª½±½á¹û2023¿ª½±¼Ç¼), Jerrad Hampton (°ÄÃÅ¿ª½±½á¹û2023¿ª½±¼Ç¼), and Akil Narayan (U of Utah). |
Location Information: ÌýÌý() 1111 Engineering DRÌý Boulder, COÌý Room:Ìý245 |
Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email:Ìýamassist@colorado.edu |