Optimization Working Group I: Statistical Inverse Problems

Group Leaders: Alen Alexandrian, Arvind Saibaba

SAMSI Webmaster: Ahmed Attia

Weekly Meetings: Meeting Times to be determined

DescriptionThis working group aims to explore the use and develop optimization techniques to tackle various computational challenges in statistical inverse problems. The WG will focus on three different topics: (1) Randomized Linear Algebra and Optimal Experimental Design, (2) Sampling and Reduced Order Models in Bayesian Inverse Problems, (3) Moving beyond Gaussian priors: sampling and regularization parameter selection. Connections to the WG on Optimization for applications to Energy and Environment will be explored.

News and Updates: Coming soon…

SAMSI Directorate Liaison: Ilse Ipsen

Questions: attia@samsi.info

Program on Optimization