How can DMD be used to analyze data from agent-based models?

KEY WORDS: heat · fluid, computational fluid dynamics, aerodynamic performance, Dynamic Mode Decomposition [D1] ... dominant modes from dynamic mode decomposition ... 1. Identification of a reduced order model (ROM) from numerical or experimental data is a challenging topic in fluid dynamics. Many efforts were directed ... Mar 19, 2019 ... Dynamic mode decomposition has emerged as a leading technique to identify spatiotemporal coherent structures from high-dimensional data, ... Nov 13, 2019 ... Semantic Scholar extracted view of "Dynamic mode decomposition based analysis of flow over a sinusoidally pitching airfoil" by Karthik Menon ... Nov 4, 2014 ... Dynamic mode decomposition (DMD) is a data-driven computational technique capable of extracting dynamical information from flowfields measured ... Title, 24. DGLR STAB-Symposium. Duration, 13 - 14 November 2024. Degree of recognition, National event. Location, OTH Regensburg. City, Regensburg. Mar 1, 2023 ... Abstract. In this work, we demonstrate how physical principles—such as symmetries, invariances and conservation laws—can be integrated into the ... Jun 5, 2015 ... We will show that this approach is, in effect, an extension of dynamic mode decomposition (DMD), which has been used to approximate the Koopman ... Used to analyze the time-evolution of fluid flows, dynamic mode decomposition. (DMD) has quickly gained traction in the fluids community. Jun 10, 2024 ... In summary, we have introduced a data-driven approach based on DMD to accelerate first-principles calculations of nonequilibrium electron ...