Low-Rank Approximation: Algorithms, Implementation, Applications - Ivan Markovsky
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This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. A major part of the text is devoted to application of the theory with a range of applications from systems and control theory to psychometrics bei ... Full description
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Description
More Information
| Author | Ivan Markovsky |
|---|---|
| Publisher | Springer International Publishing |
| Series | Communications and Control Engineering |
| Release year | 2018 |
| Cover type | Hardcover |
| EAN | 9783319896199 |