User profiles for J. Kutz
J. Nathan KutzProfessor of Applied Mathematics & Electrical and Computer Engineering Verified email at uw.edu Cited by 33916 |
Modern Koopman theory for dynamical systems
The field of dynamical systems is being transformed by the mathematical tools and algorithms
emerging from modern computing and data science. First-principles derivations and …
emerging from modern computing and data science. First-principles derivations and …
Primary repair of flexor tendons
HE Kleinert, JE Kutz, E Atasoy, A Stormo - Orthopedic Clinics of North …, 1973 - Elsevier
Primary flexor tendon repair will provide superior functional results at all levels of injury: the
forearm, the carpal tunnel, the palm, and distal to the superficialis tendon. Repair of injuries …
forearm, the carpal tunnel, the palm, and distal to the superficialis tendon. Repair of injuries …
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Extracting governing equations from data is a central challenge in many diverse areas of
science and engineering. Data are abundant whereas models often remain elusive, as in …
science and engineering. Data are abundant whereas models often remain elusive, as in …
[BOOK][B] Dynamic mode decomposition: data-driven modeling of complex systems
The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented availability of …
engineering, natural, and physical sciences. Indeed, there exists an unprecedented availability of …
Data-driven discovery of partial differential equations
We propose a sparse regression method capable of discovering the governing partial differential
equation(s) of a given system by time series measurements in the spatial domain. The …
equation(s) of a given system by time series measurements in the spatial domain. The …
Lesions of the petrous apex: diagnosis and management
B Isaacson, JW Kutz, PS Roland - Otolaryngologic Clinics of North America, 2007 - Elsevier
Management of petrous apex pathology poses a unique challenge even to the most
seasoned skull base surgeons. The central location in the skull base with adjacent critical …
seasoned skull base surgeons. The central location in the skull base with adjacent critical …
[HTML][HTML] Deep learning for universal linear embeddings of nonlinear dynamics
Identifying coordinate transformations that make strongly nonlinear dynamics approximately
linear has the potential to enable nonlinear prediction, estimation, and control using linear …
linear has the potential to enable nonlinear prediction, estimation, and control using linear …
Dynamic mode decomposition with control
We develop a new method which extends dynamic mode decomposition (DMD) to incorporate
the effect of control to extract low-order models from high-dimensional, complex systems. …
the effect of control to extract low-order models from high-dimensional, complex systems. …
Deep learning in fluid dynamics
JN Kutz - Journal of Fluid Mechanics, 2017 - cambridge.org
It was only a matter of time before deep neural networks (DNNs) – deep learning – made
their mark in turbulence modelling, or more broadly, in the general area of high-dimensional, …
their mark in turbulence modelling, or more broadly, in the general area of high-dimensional, …
Data-driven discovery of coordinates and governing equations
The discovery of governing equations from scientific data has the potential to transform data-rich
fields that lack well-characterized quantitative descriptions. Advances in sparse …
fields that lack well-characterized quantitative descriptions. Advances in sparse …