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Article: Short-step Methods Are Not Strongly Polynomial-Time

TitleShort-step Methods Are Not Strongly Polynomial-Time
Authors
Issue Date1-Jan-2023
PublisherSpringer
Citation
Mathematical Programming, 2023 How to Cite?
Abstract

Short-step methods are an important class of algorithms for solving convex constrained optimization problems. In this short paper, we show that under very mild assumptions on the self-concordant barrier and the width of the ℓ2-neighbourhood, any short-step interior-point method is not strongly polynomial-time.


Persistent Identifierhttp://hdl.handle.net/10722/331932
ISSN
2023 Impact Factor: 2.2
2023 SCImago Journal Rankings: 1.982
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZong, MR-
dc.contributor.authorLee, YT-
dc.contributor.authorYue, MC-
dc.date.accessioned2023-09-28T04:59:42Z-
dc.date.available2023-09-28T04:59:42Z-
dc.date.issued2023-01-01-
dc.identifier.citationMathematical Programming, 2023-
dc.identifier.issn0025-5610-
dc.identifier.urihttp://hdl.handle.net/10722/331932-
dc.description.abstract<p>Short-step methods are an important class of algorithms for solving convex constrained optimization problems. In this short paper, we show that under very mild assumptions on the self-concordant barrier and the width of the ℓ2-neighbourhood, any short-step interior-point method is not strongly polynomial-time.<br></p>-
dc.languageeng-
dc.publisherSpringer-
dc.relation.ispartofMathematical Programming-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleShort-step Methods Are Not Strongly Polynomial-Time-
dc.typeArticle-
dc.identifier.doi10.1007/s10107-023-02002-x-
dc.identifier.scopuseid_2-s2.0-85165605644-
dc.identifier.eissn1436-4646-
dc.identifier.isiWOS:001035745000001-
dc.identifier.issnl0025-5610-

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