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 theory; signal processing; computer algebra for approximate factorization and common divisor computation; computer vision for image deblurring ...
Read More
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 theory; signal processing; computer algebra for approximate factorization and common divisor computation; computer vision for image deblurring and segmentation; machine learning for information retrieval and clustering; bioinformatics for microarray data analysis; chemometrics for multivariate calibration; and psychometrics for factor analysis. Software implementation of the methods is given, making the theory directly applicable in practice. All numerical examples are included in demonstration files giving hands-on experience and exercises and MATLAB??? examples assist in the assimilation of the theory.
Read Less
Add this copy of Low Rank Approximation: Algorithms, Implementation, to cart. $40.77, fair condition, Sold by Anybook rated 5.0 out of 5 stars, ships from Lincoln, UNITED KINGDOM, published 2012 by Springer.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 600grams, ISBN: 9781447122265.
Add this copy of Low Rank Approximation: Algorithms, Implementation, to cart. $121.95, very good condition, Sold by Salish Sea Books rated 5.0 out of 5 stars, ships from Bellingham, WA, UNITED STATES, published 2011 by Springer-Verlag Publishing.
Choose your shipping method in Checkout. Costs may vary based on destination.
Seller's Description:
Very Good++; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5Äù Äì 9.75Äù tall); Red and blue covers with title in white lettering; 2011, Springer-Verlag Publishing; 258 pages; "Low Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering), " by Ivan Markovsky.
Add this copy of Low Rank Approximation: Algorithms, Implementation, to cart. $190.03, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Santa Clarita, CA, UNITED STATES, published 2011 by Springer.