How can DMD be used to study wave propagation?

... 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 ... Residual-Dynamic-Mode-Decomposition. Computation of spectral properties of Koopman operators associated with discrete-time autonomous dynamical systems. Jul 14, 2020 ... Dynamic mode decomposition (DMD) is a purely data-driven and equation-free technique for reduced-order modeling of dynamical systems and fluid flow. Feb 13, 2025 ... Based on simple least-square regression, the underlying dynamic mode decomposition algorithm can be used to construct a low-rank subspace ... Abstract. Originally introduced in the fluid mechanics community, dynamic mode decomposition (DMD) has emerged as a powerful tool for analyzing the dynamics of ... 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 ... Dynamic mode decomposition (DMD) is a recently developed method focused on discovering coherent spatial-temporal modes in high-dimensional data collected from ... Jul 28, 2023 ... When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computational power. To accelerate the DMD ... Feb 8, 2025 ... Huang, Qiuxiang, Kou, Jiaqing, Tian, Fang Bao, Young, John, Lai, Joseph C.S., & Ravi, Sridhar (2023) Dynamic mode decomposition for unsteady ... In this paper, we will propose an extension of DMD that exploits low-rank tensor decompositions of potentially high-dimensional data sets.