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Fast and low-memory compressive sensing algorithms for low tucker-rank tensor approximation from streamed measurements

Published Online: 2025-05-22

Authors

Haselby, Cullen

Iwen, Mark A.

Needell, Deanna

Rebrova, Elizaveta

Swartworth, William
Funding

Funding for this research was provided by:

Division of Mathematical Sciences (NSF DMS 2106472, NSF DMS 2106472, NSF DMS 2011140, NSF DMS 2108479, NSF DMS 2011140)
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Text and Data Mining valid from 2025-05-22

Version of Record valid from 2025-05-22
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Article History

Received: 21 January 2025

Accepted: 13 May 2025

First Online: 22 May 2025

Declarations

:

: The authors declare no competing interests.

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