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DOE OSTI · 3015921

Efficient Streaming Dynamic Mode Decomposition

Kale, Aditya [New Jersey Institute of Technology]·Netto, Marcos [New Jersey Institute of Technology]·Zhou, Xinyang [National Laboratory of the Rockies, Golden, CO (United States)]
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Abstract

We propose a reformulation of the streaming dynamic mode decomposition method that requires maintaining a single orthonormal basis, thereby reducing computational redundancy. The proposed efficient streaming dynamic mode decomposition method results in a constant-factor reduction in computational complexity and memory storage requirements. Numerical experiments on representative canonical dynamical systems show that the enhanced computational efficiency does not compromise the accuracy of the proposed method.

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97 MATHEMATICS AND COMPUTINGdynamic mode decompositionKoopman operatormodal analysisnonlinear dynamical systemsstream processing

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Kale, Aditya [New Jersey Institute of Technology], Netto, Marcos [New Jersey Institute of Technology], Zhou, Xinyang [National Laboratory of the Rockies, Golden, CO (United States)]. 2025-10-15. Efficient Streaming Dynamic Mode Decomposition. https://doi.org/10.1109/lcsys.2025.3622516

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