Inverse Problems: Systematic Integration of Data with Models under Uncertainty

Acknowledgement

The 2018 Gene Golub Summer School on Inverse Problems: Systematic Integration of Data with Models under Uncertainty is sponsored by SIAM through an endowment from the estate of Gene Golub. For more information about prior summer schools and Professor Gene Golub go to SIAM G2S3.

We would also like to acknowledge:

• The National Science Foundation (NSF), Division Of Mathematical Sciences (DMS), for providing additional funds to support the participation to the school of US-based PhD students through grant DMS-1834756.

• The Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI-1548562, for providing the cloud computing resources (Jetstream) for the hands on laboratory sessions of the school through allocation TG-DMS180009.

• The University of California, Merced, School of Natural Sciences, for staff support in the organization of the summer school.

• The National Science Foundation (NSF), Office of Advanced Cyberinfrastructure (OAC), for supporting the development and integration of the MUQ/hIPPYlib software used in the summer school through grants ACI-1550487, ACI-1550547, and ACI-1550593.

• The National Science Foundation (NSF), Division Of Mathematical Sciences (DMS), CAREER award number 1654311 (N. Petra)

• The National Science Foundation (NSF), Division Of Mathematical Sciences (DMS), Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS) award number 1723211 (G. Stadler)