Speaker：Xuemei Chen (University of North Carolina Wilmington)

Time：2023-6-25, 10:30

Location：Conference Room 686 at the 6th floor of Shuli Building at Haiyun Campus

Abstract:

We propose a novel algorithmic framework based on the Kaczmarz algorithm for tensor recovery. This is an iterative algorithm for solving a linear constrained optimization problem (with a regularizer). We provide thorough convergence analysis and its applications from the vector case to the tensor one. We also show numerical results on a variety of tensor recovery applications to illustrate the enormous potential of the proposed methods.