Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/112580
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Applied Mathematics | en_US |
| dc.creator | Hu, S | en_US |
| dc.creator | Sun, D | en_US |
| dc.creator | Toh, KC | en_US |
| dc.date.accessioned | 2025-04-17T06:34:40Z | - |
| dc.date.available | 2025-04-17T06:34:40Z | - |
| dc.identifier.issn | 0025-5610 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/112580 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.rights | © The Author(s) 2024 | en_US |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Hu, S., Sun, D. & Toh, KC. Quantifying low rank approximations of third order symmetric tensors. Math. Program. 213, 1119–1168 (2025) is available at https://doi.org/10.1007/s10107-024-02165-1. | en_US |
| dc.subject | Duality | en_US |
| dc.subject | Low rank approximation | en_US |
| dc.subject | Moment | en_US |
| dc.subject | Optimality | en_US |
| dc.subject | Orthogonally decomposable tensor | en_US |
| dc.subject | Polynomial | en_US |
| dc.subject | Projection | en_US |
| dc.subject | Quasi-optimal | en_US |
| dc.subject | Rank constraint | en_US |
| dc.subject | SDP relaxation | en_US |
| dc.subject | Tensor | en_US |
| dc.title | Quantifying low rank approximations of third order symmetric tensors | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 1119 | en_US |
| dc.identifier.epage | 1168 | en_US |
| dc.identifier.volume | 213 | en_US |
| dc.identifier.issue | 1-2 | en_US |
| dc.identifier.doi | 10.1007/s10107-024-02165-1 | en_US |
| dcterms.abstract | In this paper, we present a method to certify the approximation quality of a low rank tensor to a given third order symmetric tensor. Under mild assumptions, best low rank approximation is attained if a control parameter is zero or quantified quasi-optimal low rank approximation is obtained if the control parameter is positive. This is based on a primal-dual method for computing a low rank approximation for a given tensor. The certification is derived from the global optimality of the primal and dual problems, and is characterized by easily checkable relations between the primal and the dual solutions together with another rank condition. The theory is verified theoretically for orthogonally decomposable tensors as well as numerically through examples in the general case. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Mathematical programming, Sept 2025, v. 213, no. 1-2, p. 1119–1168 | en_US |
| dcterms.isPartOf | Mathematical programming | en_US |
| dcterms.issued | 2025-09 | - |
| dc.identifier.scopus | 2-s2.0-85210484165 | - |
| dc.identifier.eissn | 1436-4646 | en_US |
| dc.description.validate | 202504 bcch | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_TA | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Science Foundation of China under Grant 12171128; Natural Science Foundation of Zhejiang Province, China, under Grant LY22A010022; Research Center for Intelligent Operations Research at The Hong Kong Polytechnic University; Ministry of Education, Singapore, under its Academic Research Fund Tier 3 Grant call (MOE-2019-T3-1-010) | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.TA | Springer Nature (2024) | en_US |
| dc.description.oaCategory | TA | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s10107-024-02165-1.pdf | 765.05 kB | Adobe PDF | View/Open |
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