What are the applications of DMD in public health and disease control?

Jun 19, 2019 ... ... method for modeling dynamical systems called the Dynamic Mode Decomposition (DMD). This is a recent method that has first emerged in the ... Jan 30, 2016 ... DMD is a modal decomposition algorithm that describes high-dimensional dynamic data using coupled spatial–temporal modes. Spectral decomposition of the Koopman operator is attracting attention as a tool for the analysis of nonlinear dynamical systems. Dynamic mode decomposition. Mar 21, 2025 ... Using Dynamic Mode Decomposition with control (DMDc), we analyze surface air temperature patterns from climate simulations to elucidate the ... ... modes from dynamic mode decomposition', Eur. J. Mech. B/Fluids, 2017, 62, pp. 109–129. 10.1016/j.euromechflu. 2016.11.015. Crossref · Google Scholar. 26. Barata ... The initial stage analyzes voltages and currents with a window-based approach based on the dynamic mode decomposition (DMD) and then applies signal norms to the. Jul 19, 2023 ... Time-extrapolation techniques based on reduced-order models (ROMs), such as dynamic mode decomposition (DMD) can be used not only to reduce the ... Spectral decomposition of the Koopman operator is attracting attention as a tool for the analysis of nonlinear dynamical systems. Dynamic mode decomposition. ... method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods ... Feb 13, 2025 ... Based on simple least-square regression, the underlying dynamic mode decomposition algorithm can be used to construct a low-rank subspace ...