Speaker
Allison Fuller
(Arizona State University)
Description
Block-structured matrices arise as operators in many contexts, including image deblurring and discretized differential equations. These matrices are often large and computationally difficult to work with. By rewriting these operators as a sum of Kronecker products, we may be able to alleviate these challenges. In this talk, we show how we can use the structure of a matrix to impose bounds on such a sum.
Author
Allison Fuller
(Arizona State University)
Co-authors
Malena Espanol
(Arizona State University)
Misha Kilmer
(Tufts University)