What are some best practices for presenting DMD modes and eigenvalues?

Ryoji Takaki ... A new dynamic mode decomposition (DMD) method is introduced for simultaneous system identification and denoising in conjunction with the adoption ... In this paper, we will propose an extension of DMD that exploits low-rank tensor decompositions of potentially high-dimensional data sets. Dynamic mode decomposition (DMD) is a recently developed method focused on discovering coherent spatial-temporal modes in high-dimensional data collected from ... Dynamic mode decomposition (DMD) is a dimensionality reduction algorithm developed by Peter J. Schmid and Joern Sesterhenn in 2008. 1. Identification of a reduced order model (ROM) from numerical or experimental data is a challenging topic in fluid dynamics. Many efforts were directed ... ... method for computing Dynamic Mode Decomposition (DMD) evolution matrices, which we use to analyze dynamical systems. Unlike the majority of existing methods ... Jan 27, 2022 ... an equation-free, data-driven method for identifying coherent flow structures and their associated spatiotemporal dynamics — to estimate future ... Explore all communities & collections. Astrophysical Sciences, Chemical and Biological Engineering, Chemistry, Civil and Environmental Engineering, ... ... dynamic mode decomposition (DMD). The DMD spectrum and DMD modes are retrieved from the propagation of the relevant states along the topological boundary ... In particular, we explore an algorithm rooted in fluid-dynamics, known as higher-order Dynamic Mode Decomposition, which is designed to capture the ...