Ditemukan 2 dokumen yang sesuai dengan query
Markovsky, Ivan, author
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 is devoted to describing the applications of the theory including, system and control...
London: [, Springer], 2012
e20410845
eBooks Universitas Indonesia Library
Markovsky, Ivan, author
Exact and Approximate Modeling of Linear Systems: A Behavioral Approach elegantly introduces the behavioral approach to mathematical modeling, an approach that requires models to be viewed as sets of possible outcomes rather than to be a priori bound to particular representations. The authors discuss exact and approximate fitting of data...
Philadelphia: Society for Industrial and Applied Mathematics, 2006
e20451308
eBooks Universitas Indonesia Library
