Inverse Problems: Systematic Integration of Data with Models under Uncertainty
The ninth Gene Golub SIAM Summer School will take place June 17–30, 2018 at the DoubleTree by Hilton hotel in Breckenridge, Colorado, USA.
The summer school aims to introduce graduate students to the mathematical and computational aspects of inverse problems, particularly modern developments that emphasize the quantification of uncertainty in the inverse solution within the framework of Bayesian inference. The target audience is PhD and appropriate MS students in mathematics and related fields such as computer science, statistics, engineering, and science.
The summer school will feature an integrated and coherent presentation that begins with ill-posedness and regularization, develops the ideas and tools for deterministic inversion via numerical optimization, and elaborates formulations and solution methods for the modern Bayesian perspective, building on several of the deterministic tools. The concepts introduced in the morning lectures will be put into practice in afternoon hands-on laboratory sessions using open-source software (hIPPYlib, MUQ) implementing state-of-the-art deterministic and Bayesian inversion methods. Students will work together on projects that will be presented on the last day of the school.
Organizers and instructors
- Omar Ghattas (The University of Texas at Austin)
- Youssef Marzouk (MIT)
- Matthew Parno (US Army Corps of Engineers)
- Noemi Petra (University of California, Merced)
- Georg Stadler (New York University)
- Umberto Villa (The University of Texas at Austin)
Questions concerning the summer school can be addressed to firstname.lastname@example.org