Campuses:

skeleton decompositions

Wednesday, September 6, 2017 - 2:55pm - 3:30pm
Youssef Marzouk (Massachusetts Institute of Technology)
Many inverse problems may involve a large number of observations. Yet these observations are seldom equally informative; moreover, practical constraints on storage, communication, and computational costs may limit the number of observations that one wishes to employ. We introduce strategies for selecting subsets of the data that yield accurate approximations of the inverse solution. This goal can also be understood in terms of optimal experimental design.
Subscribe to RSS - skeleton decompositions