What insights can DMD provide into the dynamics of viral marketing and social movements?

Nov 1, 2023 ... ... dynamics of pump-jet and ducted propeller based on dynamic mode decomposition'. Together they form a unique fingerprint. Ducted Propeller ... Dynamic Mode Decomposition (DMD) is a popular data-driven analysis technique used to decompose complex, nonlinear systems into a set of modes, revealing ... In this paper, we will propose an extension of DMD that exploits low-rank tensor decompositions of potentially high-dimensional data sets. Feb 8, 2025 ... Huang, Qiuxiang, Kou, Jiaqing, Tian, Fang Bao, Young, John, Lai, Joseph C.S., & Ravi, Sridhar (2023) Dynamic mode decomposition for unsteady ... ... 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 ... Nov 4, 2014 ... Dynamic mode decomposition (DMD) is a data-driven computational technique capable of extracting dynamical information from flowfields measured ... ... dynamic mode decomposition to reconstruct the final steady state given only few snapshots of the simulation, and the reduction of the parameter space by AS ... We develop an iterative approximation algorithm which couples the EDMD with a trainable dictionary represented by an artificial neural network. ... method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods ... Abstract. Originally introduced in the fluid mechanics community, dynamic mode decomposition (DMD) has emerged as a powerful tool for analyzing the dynamics of ...