Springer. Used - Like New. Used - Like New. Book is new and unread but may have minor shelf wear. Ships from UK in 48 hours or less (usually same day). Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. 100% money back guarantee. We are a world class secondhand bookstore based in Hertfordshire, United Kingdom and specialize in high quality textbooks across an enormous variety of subjects. We aim to provide a vast range of textbooks, rare and collectible books at a great price. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. We provide a 100% money back guarantee and are dedicated to providing our customers with the highest standards of service in the bookselling industry. Springer ISBN 1447122267 9781447122265 [GB]

ISBN10: 1447122267, ISBN13: 9781447122265, [publisher: Heidelberg, Springer.] Hardcover 64 illus., 55 in color., X, 256 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch.
[Berlin, Germany] [Publication Year: 2012]

Very Good. ISBN 1447122267 9781447122265 [US]

Springer-Verlag Publishing, Date: 2011. 1. Hardcover. Very Good. 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 (8.5” – 9.75” 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. 2011. Springer-Verlag Publishing ISBN 1447122267 9781447122265 [US]

ISBN10: 1447122267, ISBN13: 9781447122265, [publisher: Berlin Springer] Hardcover Neu neuware, importqualität, auf lager - 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.
[Einbeck, Germany] [Publication Year: 2011]
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