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SAMPLe Seminar

October 18, 2019 - 12:30pm

Speaker: Alex John Quijano

Title: Introduction to Dynamic Mode Decomposition and Applications

Abstract: Dynamic Mode Decomposition (DMD) is a data-driven approach to mathematical modeling. Systems such as turbulent fluids, biological systems, finance, and climate can be characterized as high-dimensional and nonlinear dynamical systems. Given a high-dimensional dynamical system in a form of time-series data, DMD computes a matrix via Singular Value Decomposition (SVD) that represents the dynamics of the system. Not only it can reconstruct the time-series, but it can also produce short term predictions. This talk introduces the DMD technique and how it can be used to discover the dynamics of a system given some data.