Hierarchical Methodology for Inverse Problems
Abstract
The aim of the proposed work is to marry the best features of mechanistic modeling and data-driven modeling via the development of novel hierarchical inversion algorithms. The result will be new computational methodologies for inverse problems, both classical and statistical,founded on theoretical understanding and with demonstrable applicability to importantinverse problems in the physical sciences.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 02, 2017
- Source ID
- FA95501710185
Entities
People
- Andrew M. Stuart
Organizations
- Air Force Office of Scientific Research
- California Institute of Technology
- United States Air Force