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Dynamic Mode Decomposition (DMD) is a data-driven technique used in the analysis of dynamical systems, particularly for identifying patterns and extracting coherent structures from time-series data. It was introduced as a method for analyzing fluid flows and has since found applications in various fields such as engineering, biology, finance, and more. ### Key Concepts: 1. **Data Representation**: DMD decomposes a set of snapshots of a dynamical system into modes that represent the underlying dynamics.

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  1. Time series
  2. Mathematics in medicine
  3. Applied mathematics
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