Algorithms, Implementation, Applications
by
Ivan Markovsky
Language: English
Release Date: November 19, 2011
Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. Much of the text...