How can DMD be used to analyze data on networks with time-varying topologies?

Jul 28, 2023 ... When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computational power. To accelerate the DMD ... Aug 29, 2024 ... We apply here an unsupervised data-driven algorithm, Dynamic Mode Decomposition (DMD), to sEEG recordings from five focal epilepsy patients. KEY WORDS: heat · fluid, computational fluid dynamics, aerodynamic performance, Dynamic Mode Decomposition [D1] ... dominant modes from dynamic mode decomposition ... Feb 8, 2025 ... Huang, Qiuxiang, Kou, Jiaqing, Tian, Fang Bao, Young, John, Lai, Joseph C.S., & Ravi, Sridhar (2023) Dynamic mode decomposition for unsteady ... The presence of cyclic expansions and contractions in the economy has been known for over a century. The work reported here searches for similar cyclic ... Nov 1, 2023 ... ... dynamics of pump-jet and ducted propeller based on dynamic mode decomposition'. Together they form a unique fingerprint. Ducted Propeller ... Jul 20, 2024 ... ... dynamic mode decomposition method'. Together they form a unique fingerprint. Decomposition Method Mathematics 100%. Dynamic Mode ... Understanding nonlinear dynamical systems (NLDSs) is challenging in a variety of engineering and scientific fields. Dynamic mode decomposition (DMD), ... The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections ... Dynamic mode decomposition (DMD) is a recently developed method focused on discovering coherent spatial-temporal modes in high-dimensional data collected from ...