Kutz, J. Nathan Brunton, Steven L. Brunton, Bingni W. Proctor, Joshua L. Dynamic mode decomposition 9781611974492

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Автор: Kutz, J. Nathan Brunton, Steven L. Brunton, Bingni W. Proctor, Joshua L.
Название: Dynamic mode decomposition
ISBN: 9781611974492
Издательство: Mare Nostrum (Eurospan)
Классификация:

Прикладная математика

Классическая механика

Гидродинамика и газовая динамика

Математика для инженеров

ISBN-10: 1611974496
Обложка/Формат: Paperback
Страницы: 250
Вес: 0.55 кг.
Дата издания: 30.10.2016
Язык: English
Размер: 180 x 268 x 22
Читательская аудитория: Professional & vocational
Ключевые слова: Applied mathematics,Maths for engineers
Подзаголовок: Data-driven modeling of complex systems
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Поставляется из: Англии
Описание: 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.
Дополнительное описание: Applied mathematics|Maths for engineers

Dynamic mode decomposition, Kutz, J. Nathan Brunton, Steven L. Brunton, Bingni W. Proctor, Joshua L.