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Efficient streaming dynamic mode decomposition

Aditya Kale, Marcos Netto, Xinyang Zhou

Year
2025
Access
Open access

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.

Keywords

eess.SY

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