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Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.

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Title: Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.
Authors: Lin, Qihang1, qihang-lin@uiowa.edu, Ma, Runchao1, Xu, Yangyang2
Source: Computational Optimization & Applications; May2022, Vol. 82 Issue 1, p175-224, 50p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 156221932
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.
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  Data: <searchLink fieldCode="AU" term="%22Lin%2C+Qihang%22">Lin, Qihang</searchLink><relatesTo>1</relatesTo>, <i>qihang-lin@uiowa.edu</i><br /><searchLink fieldCode="AU" term="%22Ma%2C+Runchao%22">Ma, Runchao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Yangyang%22">Xu, Yangyang</searchLink><relatesTo>2</relatesTo>
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        Value: 10.1007/s10589-022-00358-y
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      – Code: eng
        Text: English
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        PageCount: 50
        StartPage: 175
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      – TitleFull: Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.
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            NameFull: Lin, Qihang
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            NameFull: Ma, Runchao
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            NameFull: Xu, Yangyang
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            – D: 01
              M: 05
              Text: May2022
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              Y: 2022
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