Can I read Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems on EtoBox?

Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems by Jose Nathan Kutz; Steven L. Brunton; Bingni W. Brunton; Joshua L. Proctor is a science book available to read on EtoBox.

What is Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems about?

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 Data-Driven Modeling of Complex Systems , the first book to address the DMD algorithm, 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 aroun

Who reads Dynamic Mode Decomposition : Data-driven Modeling of Complex Systems?

Author

Jose Nathan Kutz; Steven L. Brunton; Bingni W. Brunton; Joshua L. Proctor

Publisher

SIAM-Society for Industrial and Applied Mathematics

Published

2016

Language

EN

ISBN

9781611974492

Category

science

Subjects

Mathematics, Science, Physics

Rating

4.5 / 5 (23 ratings)

Updated

2026-03-14