Efficient streaming dynamic mode decomposition
Fuente:
arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866913927372210176 |
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| author | Kale, Aditya Netto, Marcos Zhou, Xinyang |
| author_facet | Kale, Aditya Netto, Marcos Zhou, Xinyang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_03770 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient streaming dynamic mode decomposition Kale, Aditya Netto, Marcos Zhou, Xinyang Systems and Control 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. |
| title | Efficient streaming dynamic mode decomposition |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2507.03770 |