Ivan markovsky (39 résultats)
Exact and Approximate Modeling of Linear Systems
Sabine Van Huffel, Bart De Moor, Jan C. Willems, Ivan Markovsky
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2006
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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Paperback. Etat : New. Exact and Approximate Modeling of Linear Systems elegantly introduces the behavioural 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 fitti…ng of data by linear, bilinear, and quadratic static models and linear dynamic models, a formulation that enables readers to select the most suitable representation for a particular purpose.This book presents exact subspace-type and approximate optimization-based identification methods, as well as representation-free problem formulations, an overview of solution approaches, and software implementation. Readers will find an exposition of a wide variety of modeling problems starting from observed data. The presented theory leads to algorithms that are implemented in C language and in MATLAB.
Exact and Approximate Modeling of Linear Systems A Behavioral Approach
Markovsky, Ivan (Editor)/ Willems, Jan C./ Huffel, Sabine van/ De Moor, Bart
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Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books
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Paperback. Etat : Brand New. new title edition. 206 pages. 9.75x7.00x0.50 inches. In Stock.
Langue : anglais
Edité par Society for Industrial & Applied Mathematics,U.S., 2006
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Paperback. Etat : New. New copy - Usually dispatched within 4 working days.
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Etat : New. In.
Exact and Approximate Modeling of Linear Systems
Sabine Van Huffel, Bart De Moor, Jan C. Willems, Ivan Markovsky
Langue : anglais
Edité par Society for Industrial and Applied Mathematics,U.S., US, 2006
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Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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Paperback. Etat : New. Exact and Approximate Modeling of Linear Systems elegantly introduces the behavioural 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 fitti…ng of data by linear, bilinear, and quadratic static models and linear dynamic models, a formulation that enables readers to select the most suitable representation for a particular purpose.This book presents exact subspace-type and approximate optimization-based identification methods, as well as representation-free problem formulations, an overview of solution approaches, and software implementation. Readers will find an exposition of a wide variety of modeling problems starting from observed data. The presented theory leads to algorithms that are implemented in C language and in MATLAB.
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Etat : New. pp. 268.
Autres images- Couverture souple
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Taschenbuch. Etat : Neu. Low Rank Approximation | Algorithms, Implementation, Applications | Ivan Markovsky | Taschenbuch | x | Englisch | 2014 | Springer | EAN 9781447158363 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu….
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Etat : New. Provides the reader with an analysis tool which is more generally applicable than the commonly-used total least squaresShows the reader solutions to the problem of data modelling by linear systems from a sweeping field of applications.
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 stru…ctured 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.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Gebundene Ausgabe. Etat : Neu. 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.
Langue : anglais
Edité par Springer, 2018
Série : Livre 49 sur 65 - Communications and Control Engineering
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Etat : New. Reprint edition NO-PA16APR2015-KAP.
Langue : anglais
Edité par Springer, 2019
Série : Livre 49 sur 65 - Communications and Control Engineering
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Etat : New. Softcover reprint of the original 2nd ed. 2019 edition NO-PA16APR2015-KAP.
Langue : anglais
Edité par Springer, 2019
Série : Livre 49 sur 65 - Communications and Control Engineering
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Taschenbuch. Etat : Neu. Low-Rank Approximation | Algorithms, Implementation, Applications | Ivan Markovsky | Taschenbuch | Communications and Control Engineering | xiii | Englisch | 2019 | Springer | EAN 9783030078171 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Hardcover. Etat : Neu. 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 problem…s 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. Matrix low-rank approximation is intimately related to data modelling by a linear system; a problem that arises frequently in many different fields. This book is a comprehensive exposition of 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. A major part of the text is devoted to application of the theory. Applications described include: system and control theory: approximate realization, model reduction, output error and errors-in-variables identification; signal processing: harmonic retrieval, sum-of-damped exponentials, finite impulse response modelling, and array 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.Special knowledge from the respective application fields is not required. 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® examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis. Data Approximation by Low-complexity Models is a broad survey of the 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 electronic lecture slides, problems and solutions render it suitable for use in teaching graduate courses in those subjects as well. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.
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Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue : anglais
Edité par Springer International Publishing, 2019
Série : Livre 49 sur 65 - Communications and Control Engineering
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Taschenbuch. Etat : 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.
Langue : anglais
Edité par Springer, 2018
Série : Livre 49 sur 65 - Communications and Control Engineering
- Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Buch. Etat : 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 presen…ted. 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.
Langue : anglais
Edité par Springer, 2019
Série : Livre 49 sur 65 - Communications and Control Engineering
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Langue : anglais
Edité par Springer, 2018
Série : Livre 49 sur 65 - Communications and Control Engineering
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Hardcover. Etat : New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Edité par Krasnodar, 1971
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Ajouter au panierHardcover. Etat : Good. In Russian. Markovsky, Ivan Vasilievich. Love for the earth. Krasnodar: Book of Editions, 1971. All images are for identification of editions only. Several books of the same edition may be available. Please feel free to request photos of available books.SKU7354744.
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Langue : anglais
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, an…d 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. 268 pp. Englisch.
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Langue : anglais
Edité par Springer, 2018
Série : Livre 49 sur 65 - Communications and Control Engineering
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Etat : New. Print on Demand pp. 268.
Langue : anglais
Edité par Springer International Publishing Jan 2019, 2019
Série : Livre 49 sur 65 - Communications and Control Engineering
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Taschenbuch. Etat : 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 structu…red 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.
Langue : anglais
Edité par Springer International Publishing Aug 2018, 2018
Série : Livre 49 sur 65 - Communications and Control Engineering
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Buch. Etat : 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 pro…blems 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.
