9781611974492 - dynamic mode decomposition: data-driven modeling of complex systems di kutz, j. nathan; brunton, steven l.; brunton, bingni w.; proctor, joshua l. (18 risultati)
Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems
J. Nathan Kutz,Joshua L. Proctor,Steven L. Brunton,Bingni W. Brunton
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paperback. Condizione: Very Good. A clean and tight copy.
Lingua: Inglese
Editore: 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.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics 2016
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US 2016
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Paperback. Condizione: 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.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics 2016
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S. 2017
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Condizione: New. 2017. Paperback. . . . . .
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York 2016
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Paperback. Condizione: 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 man…y 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.
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M 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.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics 2016
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems
Kutz, J. Nathan; Brunton, Steven L.; Brunton, Bingni W.; Proctor, Joshua L.
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematics 2016
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Editore: 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.
Lingua: Inglese
Editore: Society For Industrial & Applied Mathematics,U.S. 2016
- Brossura
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 250 pages. 10.00x7.00x0.60 inches. In Stock.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S. 2016
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2017. Paperback. . . . . . Books ship from the US and Ireland.
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Condizione: New.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US 2016
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: 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.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York 2016
- Brossura
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Paperback. Condizione: 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 man…y 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
Lingua: Inglese
Editore: SIAM-Society for Industrial and Applied Mathematic 2016
- Brossura
Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
