An introduction to the Koopman Operator (DS4DS 8.01)
Important references: [1] Williams et al. "A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition", 2015. DOI: https://doi.org/10.1007/s00332-015-92... [2] Brunton et al. "Modern Koopman Theory for Dynamical Systems", 2022. DOI: https://doi.org/10.1137/21M1401243 Source of the fluid flow data: http://dmdbook.com/ Hosts: Sebastian Peitz - https://orcid.org/0000-0002-3389-793X Oliver Wallscheid - / wallscheid Programming examples / Julia code via GitHub: https://github.com/DS-4-DS/DS4DS_Course Code for this video: notebooks/Koopman/VortexShedding.ipynb Supported by the ‘digi-Fellows’ program granted by Paderborn University: https://www.uni-paderborn.de/en/

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Koopman operator: Spectral decomposition 1 (DS4DS 8.02)

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Igor Mezic: "Koopman Operator Theory for Dynamical Systems, Control and Data Analytics"

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LTspice : Plot vth vs k and Plot 'Lambda' vs channel length for both NMOS and PMOS

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PyDMD: A Python Package for Dynamic Mode Decomposition (DMD)

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Koopman Spectral Analysis (Overview)

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Koopman: Observable functions (DS4DS 8.04)

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The Fisher Information

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Koopman operator: Spectral decomposition 2 (DS4DS 8.03)

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mrdmd summary kutz
![Hankel Alternative View of Koopman (HAVOK) Analysis [FULL]](https://i.ytimg.com/vi/831Ell3QNck/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLBG_wowqmRUOVS6dhtKuveUg1iwBQ)
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Hankel Alternative View of Koopman (HAVOK) Analysis [FULL]

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Koopman Neural Networks - Data-Driven Dynamics | Lecture 25

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Extended Dynamic Mode Decomposition 2 - The EDMD algorithm (DS4DS 8.06)

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Koopman Theory + Embeddings

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Norwegen – Senegal Highlights | Gruppe I, FIFA WM 2026 | sportstudio

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Extended Dynamic Mode Decomposition 1 - Finite dimensional subspaces (DS4DS 8.05)

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Approximating the Koopman Operator - Data-Driven Dynamics | Lecture 6

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Time Evolution of Probability Densities: An Introduction to the Perron-Frobenius Operator

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Koopmanism is Wrong

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