Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 194,04
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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 being described. Special knowledge of the application fields is not required.The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:variable projection for structured low-rank approximation;missing data estimation;data-driven filtering and control;stochastic model representation and identification;identification of polynomial time-invariant systems; andblind identification with deterministic input model.The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^ /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis.Each chapter is completed with a new section of exercises to which complete solutions are provided.Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well. Numerical examples in the book use SLRA and IDENT packages. Material available for download: Software implementation of algorithms in the book, demonstrations and case studies. Problems and solutions. Lecture slides for a course based on the book. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 199,89
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Añadir al carritoCondición: New. Reprint edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 being described. Special knowledge of the application fields is not required.The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:-variable projection for structured low-rank approximation;-missing data estimation;-data-driven filtering and control;-stochastic model representation and identification;-identification of polynomial time-invariant systems; and-blind identification with deterministic input model.The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^® /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis.'Each chapter is completed with a new section of exercises to which complete solutions are provided.'Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 226,91
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Añadir al carritoHardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Springer International Publishing AG, Cham, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 277,17
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. 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 being described. Special knowledge of the application fields is not required.The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:variable projection for structured low-rank approximation;missing data estimation;data-driven filtering and control;stochastic model representation and identification;identification of polynomial time-invariant systems; andblind identification with deterministic input model.The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^ /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis.Each chapter is completed with a new section of exercises to which complete solutions are provided.Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well. Numerical examples in the book use SLRA and IDENT packages. Material available for download: Software implementation of algorithms in the book, demonstrations and case studies. Problems and solutions. Lecture slides for a course based on the book. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Springer International Publishing Aug 2018, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 being described. Special knowledge of the application fields is not required.The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:-variable projection for structured low-rank approximation;-missing data estimation;-data-driven filtering and control;-stochastic model representation and identification;-identification of polynomial time-invariant systems; and-blind identification with deterministic input model.The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^® /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis.'Each chapter is completed with a new section of exercises to which complete solutions are provided.'Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well. 288 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: moluna, Greven, Alemania
EUR 136,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Numerical examples in the book use SLRA and IDENT packages. Material available for download: Software implementation of algorithms in the book, demonstrations and case studies. Problems and solutions. Lecture slides for a course based on the book.|Provid.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 204,33
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: preigu, Osnabrück, Alemania
EUR 141,20
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Low-Rank Approximation | Algorithms, Implementation, Applications | Ivan Markovsky | Buch | xiii | Englisch | 2018 | Springer International Publishing | EAN 9783319896199 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Springer International Publishing, Springer International Publishing Aug 2018, 2018
ISBN 10: 3319896199 ISBN 13: 9783319896199
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 being described. Special knowledge of the application fields is not required.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 211,29
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.