arxiv
PublishedAugust 28, 2026 at 4:00 AM
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Data-driven Koopman mode approximation: A neural power iteration algorithm
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arXiv:2608.26943v1 Announce Type: cross Abstract: This paper proposes a novel data-driven algorithm to approximate the dominant eigenfunctions (aka.~modes) of the Koopman operator of nonlinear dynamical systems using neural networks. The relevance of learning the dominant Koopman modes is to approxi
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Originally published on arxiv ↗