Isbn: 9781611974492 - dynamic mode decomposition: data-driven modeling of complex systems (18 resultados)

Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
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Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
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EUR 84,32
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Paperback. Condición: New. Data-driven dynamical systems is a burgeoning field - it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning.Dynamic Mode Decomposition is the first book to address the DMD algorithm, it:Presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development.Blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses.Highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences.Provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.…

Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
- Tapa blanda
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2017
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Condición: New. 2017. Paperback. . . . . .

Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., New York, 2016
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 93,91
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Paperback. Condición: new. Paperback. Data-driven dynamical systems is a burgeoning field - it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning.Dynamic Mode Decomposition is the first book to address the DMD algorithm, it:Presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development.Blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses.Highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences.Provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations. The first book to address the DMD algorithm presenting a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development. It blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Idioma: Inglés
Editorial: MP-SIA SIAM - Society for Industrial and Applied M, 2016
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
- Tapa blanda
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Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics, 2016
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EUR 93,32
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Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
- Tapa blanda
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2016
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Dynamic Mode Decomposition DataDriven Modeling of Complex Systems
Kutz, J. Nathan Brunton, Steven L. Brunton, Bingni W. Proctor, Joshua L.
Idioma: Inglés
Editorial: Society For Industrial & Applied Mathematics,U.S., 2016
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. 250 pages. 10.00x7.00x0.60 inches. In Stock.

Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., 2016
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Condición: New. 2017. Paperback. . . . . . Books ship from the US and Ireland.

Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics, 2016
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Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
J. Nathan Kutz; Steven L. Brunton; Bingni W. Brunton; Joshua L. Proctor
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematics, 2016
- Tapa blanda
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Idioma: Inglés
Editorial: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
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EUR 79,88
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Paperback. Condición: New. Data-driven dynamical systems is a burgeoning field - it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning.Dynamic Mode Decomposition is the first book to address the DMD algorithm, it:Presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development.Blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses.Highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences.Provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.…

Idioma: Inglés
Editorial: Society for Industrial & Applied Mathematics,U.S., New York, 2016
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Paperback. Condición: new. Paperback. Data-driven dynamical systems is a burgeoning field - it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning.Dynamic Mode Decomposition is the first book to address the DMD algorithm, it:Presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development.Blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses.Highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences.Provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations. The first book to address the DMD algorithm presenting a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development. It blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua
Idioma: Inglés
Editorial: SIAM-Society for Industrial and Applied Mathematic, 2016
- Tapa blanda
Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.