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Catching Up on Mortality, Falling Behind on Disability: A Dynamic Decomposition of the Health-Adjusted Life Expectancy Gap between Higher-Income and Lower-Income Countries. [PDF]

Ann Glob Health
Li XQ, Hu W, Yan B, Sun J, Xi JY.
europepmc   +1 more source

Operational Status Assessment and Trend Prediction of Francis Turbine Generator Unit Shaft System Driven by Vibration and Swing Signals. [PDF]

Sensors (Basel)
Zhang L, Qin S, Feng Z, Wang J, Sun H, Yang SX, Liu X, Yang K.   +7 more
europepmc   +1 more source

Resolving the dual-pathway adsorption mechanism of methanol on Ni(100) <i>via</i> dynamic Monte Carlo simulations and optimizing hydrogen yield with response surface methodology. [PDF]

RSC Adv
Kaboutari P, Bashiri H.
europepmc   +1 more source

Singular Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems, 2023
11 pages. YouTube playlist supporting this manuscript can be found here: https://youtube.com/playlist?list=PLldiDnQu2phsZdFP3nHoGnk_Aq ...
Rushikesh Kamalapurkar, Joel Rosenfeld
exaly   +6 more sources

Multiresolution Dynamic Mode Decomposition [PDF]

SIAM Journal on Applied Dynamical Systems, 2016
Summary: We demonstrate that the integration of the recently developed dynamic mode decomposition (DMD) with a multiresolution analysis allows for a decomposition method capable of robustly separating complex systems into a hierarchy of multiresolution time-scale components. A one-level separation allows for background (low-rank) and foreground (sparse)
Nathan Kutz, Xing Fu
exaly   +3 more sources

Prediction Accuracy of Dynamic Mode Decomposition

SIAM Journal of Scientific Computing, 2020
Dynamic mode decomposition (DMD), which the family of singular-value decompositions (SVD), is a popular tool of data-driven regression. While multiple numerical tests demonstrated the power and efficiency of DMD in representing data (i.e., in the interpolation mode), applications of DMD as a predictive tool (i.e., in the extrapolation mode) are scarce.
Daniel M Tartakovsky
exaly   +5 more sources

Centering Data Improves the Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems, 2020
Kameron Harris, Bingni Brunton, Nathan Kutz   +2 more
exaly  

Robust and Scalable Methods for the Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems, 2022
Travis Askham, Aleksandr Aravkin, Nathan Kutz   +2 more
exaly  

A Dynamic Mode Decomposition Extension for the Forecasting of Parametric Dynamical Systems

SIAM Journal on Applied Dynamical Systems, 2023
Gianluigi Rozza, Nicola Demo
exaly