Mathematical Sciences,
Michigan Technological University

"Randomized Algorithms for Low-Rank Matrix Approximations"

Mar 10, 2021 Schedule:

Virtual Tea Time

03:00 to 03:30 PM Eastern Time (US and Canada)

Virtual Colloquium

03:30 to 04:30 PM Eastern Time (US and Canada)

Click Here to Join via Zoom

Abstract:

In this talk, I will introduce an algorithm for iteratively embedding aggregate pieces of information from a matrix, A, to generate sequences of low-rank approximations that converge to a low-rank approximation of the matrix with probability one.